diff --git a/notebooks/05A Classification/Logistic Regression.ipynb b/notebooks/05A Classification/Logistic Regression.ipynb
index 1b5452238d9de912277ff3d8814a1b86186c8b19..ce8d1f81a8f9a7063ca83e406e6deec0f54e9149 100644
--- a/notebooks/05A Classification/Logistic Regression.ipynb	
+++ b/notebooks/05A Classification/Logistic Regression.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "scrolled": true
    },
@@ -48,19 +48,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([4.33488598, 6.49116527, 4.65294084, 5.15294491, 5.11547596,\n",
-       "       5.021137  , 3.67806326, 5.359983  , 4.47380202, 5.44619487,\n",
-       "       4.93850052, 5.75285439, 4.15163543, 5.24912886, 5.47153976,\n",
-       "       5.9949529 , 5.49450444, 4.87397538, 4.6407758 ])"
+       "array([5.35686436, 4.16074333, 4.51523126, 5.6173438 , 4.92365114,\n",
+       "       4.73319842, 4.53020462, 4.66858937, 4.99070013, 6.00852287,\n",
+       "       4.95270174, 4.34039042, 5.19472928, 4.52324315, 4.90255245,\n",
+       "       5.4977034 , 5.68675945, 4.91180638, 4.38675295])"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -72,19 +72,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([1.82134404, 2.99349548, 2.47933959, 1.78562475, 1.64010294,\n",
-       "       2.50721266, 3.4838347 , 1.14455083, 1.83820623, 1.0776492 ,\n",
-       "       1.99052302, 2.1228556 , 2.65436168, 1.48838012, 1.61971417,\n",
-       "       2.93017764, 2.12009927, 2.13217097, 1.2925187 ])"
+       "array([2.69975907, 1.60143615, 2.54585047, 2.27757755, 2.69635699,\n",
+       "       1.10813944, 1.89866963, 1.6431554 , 1.35486461, 2.31214408,\n",
+       "       2.05859424, 2.56416377, 1.79832538, 1.86302097, 0.87941822,\n",
+       "       2.03662324, 1.77896071, 1.06079539, 1.76475002])"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -103,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,12 +125,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -170,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 6,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
@@ -211,16 +211,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x135fa339450>]"
+       "[<matplotlib.lines.Line2D at 0x2bcbd944d90>]"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -249,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
@@ -293,19 +293,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.99875469, 0.99520267, 0.99944232, 0.99650507, 0.99787731,\n",
-       "       0.99779644, 0.99757897, 0.99078864, 0.99827359, 0.99582228,\n",
-       "       0.99841597, 0.99737095, 0.99883382, 0.9942434 , 0.99807159,\n",
-       "       0.99845555, 0.99908434, 0.99849056, 0.99719621, 0.99646245])"
+       "array([0.99931117, 0.99826821, 0.9942953 , 0.99599114, 0.99866481,\n",
+       "       0.99733172, 0.99677373, 0.99605048, 0.99655915, 0.99750433,\n",
+       "       0.99909667, 0.99740793, 0.99522887, 0.997964  , 0.996023  ,\n",
+       "       0.99727498, 0.99849537, 0.99875424, 0.99730002, 0.99544404])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -331,12 +331,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -390,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 11,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
@@ -440,7 +440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -463,7 +463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -502,7 +502,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
@@ -517,22 +517,24 @@
     "    for i in tqdm(range(num_epochs)):\n",
     "        # START YOUR CODE\n",
     "        # calculate gradients\n",
-    "        \n",
+    "        grad_theta0, grad_theta1 = gradient(X, y, theta0, theta1)\n",
     "        \n",
     "        # update model parameters theta0 and theta1\n",
-    "        \n",
-    "        \n",
-    "        # calculate the current costs\n",
-    "        \n",
-    "        \n",
-    "        # END YOUR CODE\n",
-    "        grad_theta0, grad_theta1 = gradient(X, y, theta0, theta1)\n",
     "        theta0 = theta0 - alpha * grad_theta0\n",
     "        theta1 = theta1 - alpha * grad_theta1\n",
     "        \n",
+    "        # calculate the current costs\n",
     "        y_pred = predict(X, theta0, theta1)\n",
     "        curr_cost = cost_function(y, y_pred)\n",
     "        \n",
+    "        # END YOUR CODE\n",
+    "        # grad_theta0, grad_theta1 = gradient(X, y, theta0, theta1)\n",
+    "        # theta0 = theta0 - alpha * grad_theta0\n",
+    "        # theta1 = theta1 - alpha * grad_theta1\n",
+    "        \n",
+    "        # y_pred = predict(X, theta0, theta1)\n",
+    "        # curr_cost = cost_function(y, y_pred)\n",
+    "        \n",
     "        hist[\"cost\"].append(curr_cost)\n",
     "        hist[\"theta0\"].append(theta0)\n",
     "        hist[\"theta1\"].append(theta1)\n",
@@ -600,7 +602,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -623,9 +625,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3fef9c4b609341bd8239f75c70fd3140",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/10000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1 -  cost: 1.7885637784759554\n",
+      "Epoch 1000 -  cost: 0.12090658009850394\n",
+      "Epoch 2000 -  cost: 0.0829954436279514\n",
+      "Epoch 3000 -  cost: 0.06733751283153952\n",
+      "Epoch 4000 -  cost: 0.058375137806512156\n",
+      "Epoch 5000 -  cost: 0.0524122392650904\n",
+      "Epoch 6000 -  cost: 0.04808346724742268\n",
+      "Epoch 7000 -  cost: 0.044756814435787724\n",
+      "Epoch 8000 -  cost: 0.042095698714127466\n",
+      "Epoch 9000 -  cost: 0.039902730044371046\n",
+      "Epoch 10000 -  cost: 0.03805367793015143\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "alpha = 0.1\n",
     "num_epochs = 10000\n",
@@ -636,7 +680,7 @@
     "\n",
     "# scatter plot\n",
     "legend_map = {0: 'failed', 1: 'passed'}\n",
-    "ax[0] = sns.scatterplot(X, y, hue=pd.Series(y).map(legend_map), ax=ax[0])\n",
+    "ax[0] = sns.scatterplot(x=X, y=y, hue=pd.Series(y).map(legend_map), ax=ax[0])\n",
     "ax[0].set_xlabel('days spent learning for the ML exam')\n",
     "ax[0].set_ylabel('if students passed')\n",
     "plot_decision_boundary(X, theta0, theta1, ax[0])\n",
@@ -655,14 +699,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0515aa30614442eca490fd92ece4a259",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(IntSlider(value=100, description='epoch', max=10000, step=100), Output()), _dom_classes=…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "@interact(epoch=(0, len(hist[\"theta0\"]), 100))\n",
     "def visualize_learning(epoch=100):\n",
     "    legend_map = {0: 'failed', 1: 'passed'}\n",
-    "    ax = sns.scatterplot(X, y, hue=pd.Series(y).map(legend_map))\n",
+    "    ax = sns.scatterplot(x=X, y=y, hue=pd.Series(y).map(legend_map))\n",
     "    ax.set_xlabel('days spent learning for the ML exam')\n",
     "    ax.set_ylabel('if students passed')\n",
     "    if epoch == 0:\n",
@@ -681,9 +740,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.9999904 , 0.99963895, 0.96176196, 0.99022597, 0.99987027,\n",
+       "       0.99802152, 0.99582682, 0.99077943, 0.99462688, 0.99847916])"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "y_pred = predict(X, theta0, theta1)\n",
     "y_pred[0:10]"
@@ -698,14 +769,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
    "outputs": [],
    "source": [
-    "# y_pred_class = ..."
+    "y_pred_class = [1 if i > .5 else 0 for i in y_pred]"
    ]
   },
   {
@@ -717,7 +788,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -733,9 +804,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  1.0\n"
+     ]
+    }
+   ],
    "source": [
     "accuracy = accuracy_score(y, y_pred_class)\n",
     "\n",
@@ -755,9 +834,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>days spent learning</th>\n",
+       "      <th>prior experience</th>\n",
+       "      <th>exam passed</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>4.855064</td>\n",
+       "      <td>9.639962</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>8.625440</td>\n",
+       "      <td>0.058927</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.828192</td>\n",
+       "      <td>0.723199</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7.150955</td>\n",
+       "      <td>3.899420</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6.477900</td>\n",
+       "      <td>8.198181</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   days spent learning  prior experience  exam passed\n",
+       "0             4.855064          9.639962            1\n",
+       "1             8.625440          0.058927            0\n",
+       "2             3.828192          0.723199            0\n",
+       "3             7.150955          3.899420            1\n",
+       "4             6.477900          8.198181            1"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df = pd.read_csv(\"classification_data.csv\", header=None)\n",
     "df.columns = ['days spent learning', 'prior experience', 'exam passed']\n",
@@ -766,13 +920,128 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[4.85506424 9.63996157]\n",
+      " [8.62543976 0.05892653]\n",
+      " [3.82819154 0.72319923]\n",
+      " [7.15095484 3.89942042]\n",
+      " [6.47790044 8.19818055]\n",
+      " [1.9222695  1.33142726]\n",
+      " [8.97821589 0.99343751]\n",
+      " [6.63560308 8.54280268]\n",
+      " [7.67235895 5.41639979]\n",
+      " [4.86601533 2.04267129]\n",
+      " [6.86140497 9.65530972]\n",
+      " [8.54042132 2.59037423]\n",
+      " [3.71788065 5.38166211]\n",
+      " [9.18129712 0.17147465]\n",
+      " [9.56014002 0.02494649]\n",
+      " [5.97136947 4.18830187]\n",
+      " [9.43820269 1.94381244]\n",
+      " [4.35755102 9.88798331]\n",
+      " [4.54033196 6.71387336]\n",
+      " [1.54910163 9.37513216]\n",
+      " [8.08197371 9.84220681]\n",
+      " [9.620465   2.09932754]\n",
+      " [8.83477098 3.15220412]\n",
+      " [1.75344854 4.2192426 ]\n",
+      " [1.04321284 2.60976512]\n",
+      " [1.19638318 7.47574486]\n",
+      " [8.91006988 8.23292794]\n",
+      " [4.52961874 4.90551154]\n",
+      " [1.85911241 5.69186756]\n",
+      " [9.55717884 1.64467191]\n",
+      " [7.15470123 8.0147902 ]\n",
+      " [2.34361853 2.95870685]\n",
+      " [2.92268449 8.21759492]\n",
+      " [6.33309623 7.24030498]\n",
+      " [0.92562818 3.42126711]\n",
+      " [7.87439057 7.79109336]\n",
+      " [8.34775105 1.86081251]\n",
+      " [5.58106113 2.49612929]\n",
+      " [5.09102909 9.87313409]\n",
+      " [4.53017137 3.761759  ]\n",
+      " [1.42377799 0.22859793]\n",
+      " [9.09596013 1.06791705]\n",
+      " [4.00661592 9.79212786]\n",
+      " [8.97656743 3.93515977]\n",
+      " [0.09805288 7.21451254]\n",
+      " [0.45238867 2.77469425]\n",
+      " [3.86304627 3.91320229]\n",
+      " [7.86385017 7.72638337]\n",
+      " [8.92270641 7.75421671]\n",
+      " [7.46436788 9.94517621]\n",
+      " [1.34192929 2.34287804]\n",
+      " [5.9409696  4.62063163]\n",
+      " [0.90407766 9.42092878]\n",
+      " [7.75053006 9.05717188]\n",
+      " [9.51792529 1.3011859 ]\n",
+      " [7.74378671 1.15442169]\n",
+      " [7.69192306 8.29822782]\n",
+      " [7.09227303 2.35745691]\n",
+      " [6.94443908 6.48470389]\n",
+      " [0.04502472 3.34600593]\n",
+      " [1.54596913 7.56770009]\n",
+      " [5.27238317 9.14961537]\n",
+      " [0.86040708 8.98818814]\n",
+      " [7.25343893 1.76251062]\n",
+      " [7.51730898 2.24892929]\n",
+      " [9.08162719 1.4373504 ]\n",
+      " [0.45567818 4.72229748]\n",
+      " [6.94970542 1.41129336]\n",
+      " [9.28214252 8.52933054]\n",
+      " [7.18081269 3.61076342]\n",
+      " [1.13248839 3.26491181]\n",
+      " [7.74652845 3.64301925]\n",
+      " [7.06536045 1.12132813]\n",
+      " [6.50581749 0.86310223]\n",
+      " [5.70052911 7.08354423]\n",
+      " [6.66046669 2.25395578]\n",
+      " [1.09147202 7.08437697]\n",
+      " [4.90308762 6.02547778]\n",
+      " [3.44310934 7.06634686]\n",
+      " [8.18297806 0.97498656]\n",
+      " [9.00037648 9.54932786]\n",
+      " [9.68310414 9.50704973]\n",
+      " [2.99191148 5.29921046]\n",
+      " [2.23818348 4.5348437 ]\n",
+      " [0.66547833 9.78263644]\n",
+      " [6.77931871 2.02818075]\n",
+      " [9.94784093 1.02645781]\n",
+      " [3.21484922 0.48505899]\n",
+      " [8.85164631 1.02791596]\n",
+      " [0.20005787 4.83405955]\n",
+      " [5.18546951 0.73263081]\n",
+      " [7.26008815 3.97413383]\n",
+      " [9.15051613 2.56233373]\n",
+      " [6.46089606 7.07629269]\n",
+      " [4.77857249 8.28287133]\n",
+      " [0.02227957 2.65842789]\n",
+      " [7.63063693 7.4053514 ]\n",
+      " [3.68499747 5.04996512]\n",
+      " [7.48425954 6.05939581]\n",
+      " [2.03070798 3.93726653]] \n",
+      "\n",
+      "\n",
+      " [1. 0. 0. 1. 1. 0. 1. 1. 1. 0. 1. 1. 0. 1. 0. 1. 1. 1. 1. 0. 1. 1. 1. 0.\n",
+      " 0. 0. 1. 1. 0. 1. 1. 0. 1. 1. 0. 1. 1. 0. 1. 0. 0. 1. 1. 1. 0. 0. 0. 1.\n",
+      " 1. 1. 0. 1. 0. 1. 0. 0. 1. 0. 1. 0. 1. 1. 0. 1. 0. 1. 0. 0. 1. 1. 0. 1.\n",
+      " 0. 0. 1. 0. 0. 0. 0. 1. 1. 1. 0. 0. 1. 0. 1. 0. 1. 0. 0. 1. 1. 1. 1. 0.\n",
+      " 1. 0. 1. 0.]\n"
+     ]
+    }
+   ],
    "source": [
     "n = len(df)\n",
     "X_2d = df.values[:, 0:2]\n",
-    "y_2d = df.values[:,2]"
+    "y_2d = df.values[:,2]\n",
+    "print(X_2d, '\\n\\n\\n', y_2d)"
    ]
   },
   {
@@ -784,9 +1053,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X_train: (90, 2)\n",
+      "y_train: (90,)\n"
+     ]
+    }
+   ],
    "source": [
     "X_train, X_test, y_train, y_test = train_test_split(X_2d, y_2d, test_size=0.1)\n",
     "\n",
@@ -804,7 +1082,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
@@ -813,7 +1091,8 @@
    "source": [
     "def predict(X, bias, thetas):\n",
     "    # START YOUR CODE\n",
-    "    \n",
+    "    z = bias + np.dot(X, thetas)\n",
+    "    y_pred = sigmoid(z)\n",
     "    \n",
     "    # END YOUR CODE\n",
     "    return y_pred"
@@ -862,13 +1141,16 @@
    },
    "outputs": [],
    "source": [
+    "\"\"\"\n",
+    "VERSTEH ICH NICHT!!\n",
+    "\n",
     "def gradient(X, y, bias, thetas):\n",
     "    # START YOUR CODE\n",
     "    \n",
     "    \n",
     "    \n",
     "    # END YOUR CODE\n",
-    "    return grad_bias, grad_thetas"
+    "    return grad_bias, grad_thetas\"\"\""
    ]
   },
   {
@@ -880,7 +1162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -911,7 +1193,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -950,13 +1232,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4f0045daa1734866825f8d677d81c3a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/10000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1000 -  cost: 0.3041999970461826\n",
+      "Epoch 2000 -  cost: 0.2650651299231119\n",
+      "Epoch 3000 -  cost: 0.24810142132206148\n",
+      "Epoch 4000 -  cost: 0.23835538732109682\n",
+      "Epoch 5000 -  cost: 0.2319851286137119\n",
+      "Epoch 6000 -  cost: 0.22749858986707788\n",
+      "Epoch 7000 -  cost: 0.22418060417025354\n",
+      "Epoch 8000 -  cost: 0.2216407340270963\n",
+      "Epoch 9000 -  cost: 0.21964596892412327\n",
+      "Epoch 10000 -  cost: 0.21804791875421725\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "bias_2d, thetas_2d, hist_2d = fit(X_train, y_train, alpha=0.1, num_epochs=10000, display_every=1000)\n",
+    "\n",
+    "plot_validation_curve(hist_2d['cost'])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -967,7 +1294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -975,7 +1302,48 @@
     "solution2": "hidden",
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "68c2d9881ec7419cb610126c4445bb7a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/10000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1000 -  cost: 0.3048252510932708\n",
+      "Epoch 2000 -  cost: 0.2652839730183862\n",
+      "Epoch 3000 -  cost: 0.24821664677448077\n",
+      "Epoch 4000 -  cost: 0.23842722432408564\n",
+      "Epoch 5000 -  cost: 0.2320342456959856\n",
+      "Epoch 6000 -  cost: 0.2275341836052297\n",
+      "Epoch 7000 -  cost: 0.22420745060440944\n",
+      "Epoch 8000 -  cost: 0.22166158279682835\n",
+      "Epoch 9000 -  cost: 0.2196625242457359\n",
+      "Epoch 10000 -  cost: 0.21806129709984032\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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IN37S9AR2ow71NAsAANocwo2f2BvTTcd6UhcAAG0P4cZPGjtuCDcAAFiMcOMn3mEp0g0AAJYi3PiJrbHvhmgDAIC1CDd+0tRz46HnBgAASxFu/OTgsJS1dQAA0NERbvyEYSkAANoGwo2f2BuvJBOKAQCwFuHGT7w9N2QbAAAsRbjxk4N3KAYAAFYi3PhJ0038WC0FAIC1CDd+YuPxCwAAtAmEGz/hDsUAALQNhBs/8T5bytIqAAAA4cZPeCo4AABtA+HGTxiWAgCgbSDc+Al3KAYAoG0g3PgJD84EAKBtINz4CQ/OBACgbSDc+In3PjcW1wEAQEdHuPET71Jwum4AALAU4cZPWAoOAEDbQLjxEx6cCQBA20C48RMenAkAQNtAuPETHpwJAEDbQLjxk6ZhKYlJxQAAWIlw4yeHZBt6bwAAsBDhxk9sh3TdkG0AALAO4cZP7AxLAQDQJhBu/MR2yMCUh2wDAIBlCDf+cmjPDQNTAABYhnDjJ77DUtbVAQBAR0e48ROfCcWEGwAALEO48ROfpeAMSwEAYBnCjZ84DhmXcjOjGAAAyxBu/MTpOHgpa+s9FlYCAEDHRrjxE7vdprDG3ps6Nz03AABYhXDjR+GNvTf03AAAYB3CjR85wxrDjdttcSUAAHRchBs/ago3NfTcAABgGcKNHzVNKmbODQAA1iHc+JErjDk3AABYjXDjR07CDQAAliPc+JF3tRQTigEAsAzhxo+ahqVq6ui5AQDAKoQbP4p0OiRJlbX03AAAYBXCjR9FO8MkSZV1hBsAAKxCuPGjKFdjz01NvcWVAADQcRFu/Kip56aCYSkAACxDuPGjqMY5N1W19NwAAGAVwo0fRdFzAwCA5SwPN/Pnz1dGRoYiIiI0ZswYrVixosX2xcXFmjZtmrp06SKXy6V+/fpp6dKlQaq2ZdHMuQEAwHJhVn74okWLNHPmTD311FMaM2aM5s2bp/Hjx2vLli1KSUlp1r62tlbnnnuuUlJStGTJEnXr1k07d+5UQkJC8Is/AnpuAACwnqXh5vHHH9cNN9ygqVOnSpKeeuopvfvuu3r++ed19913N2v//PPPq6ioSJ9//rnCw8MlSRkZGcEsuUUH59wQbgAAsIplw1K1tbVatWqVsrKyDhZjtysrK0s5OTlHPOedd95RZmampk2bptTUVA0ePFiPPPKI3C087qCmpkalpaU+W6A0hZsKJhQDAGAZy8JNYWGh3G63UlNTffanpqYqLy/viOds375dS5Yskdvt1tKlS3XffffpT3/6kx566KGjfs7cuXMVHx/v3dLT0/36PQ4V7Wq8iV8NPTcAAFjF8gnFreHxeJSSkqJnnnlGI0aM0MSJE3XPPffoqaeeOuo5s2bNUklJiXfLzc0NWH1NPTeVdfTcAABgFcvm3CQnJ8vhcCg/P99nf35+vtLS0o54TpcuXRQeHi6Hw+Hdd/LJJysvL0+1tbVyOp3NznG5XHK5XP4t/iiaJhTTcwMAgHUs67lxOp0aMWKEsrOzvfs8Ho+ys7OVmZl5xHPGjRunbdu2yeM5+NTtrVu3qkuXLkcMNsHGnBsAAKxn6bDUzJkz9eyzz+qll17S5s2bdfPNN6uiosK7emry5MmaNWuWt/3NN9+soqIizZgxQ1u3btW7776rRx55RNOmTbPqK/homnNTXeeR22MsrgYAgI7J0qXgEydO1L59+zR79mzl5eVp2LBhWrZsmXeS8a5du2S3H8xf6enpWr58ue644w6dcsop6tatm2bMmKG77rrLqq/go6nnRpKq6tyKcVl6eQEA6JBsxpgO1cVQWlqq+Ph4lZSUKC4uzq/vbYxR798tlcdIK353jlLiIvz6/gAAdFSt+fvdrlZLtXU2m40ngwMAYDHCjZ9FNT1fiknFAABYgnDjZ009N+XVhBsAAKxAuPGzmIimYSnCDQAAViDc+FnTCqkyem4AALAE4cbPmsJNBXcpBgDAEoQbP2sKN+U1dRZXAgBAx0S48bOmOTdMKAYAwBqEGz/zzrmpIdwAAGAFwo2f0XMDAIC1CDd+5p1QzFJwAAAsQbjxM5aCAwBgLcKNnx1cLUW4AQDACoQbP/OGG3puAACwBOHGz7yPX6DnBgAASxBu/Iyl4AAAWItw42fepeA19TLGWFwNAAAdD+HGz5p6boyRKmt5vhQAAMFGuPGzyHCH7LaG31kxBQBA8BFu/Mxms7EcHAAACxFuAiA2IlwSy8EBALAC4SYAol0OSfTcAABgBcJNAPAIBgAArEO4CYCYxmEpbuQHAEDwEW4CIIZhKQAALEO4CQBWSwEAYB3CTQDEuBqGpZhzAwBA8BFuAqDpEQxl1XUWVwIAQMdDuAmAuMZwU0rPDQAAQUe4CYD4yIZhqdIqem4AAAg2wk0AxDWFG4alAAAIOsJNAMQ13uemhJ4bAACCjnATAAeHpZhzAwBAsBFuAiAusmlCMT03AAAEG+EmAJrm3NTWe1Rd57a4GgAAOhbCTQDEOMNktzX8zoopAACCi3ATAHa7TbERrJgCAMAKhJsAaZp3U8KkYgAAgopwEyDcyA8AAGsQbgIkjmEpAAAsQbgJEG+4oecGAICgItwESNOwFHcpBgAguAg3AXLwRn5MKAYAIJgINwHCsBQAANYg3ARIfBTDUgAAWIFwEyCslgIAwBqEmwDxzrnhJn4AAAQV4SZAvDfxo+cGAICgItwESNOwVHEl4QYAgGAi3ARIQpRTUkPPjdtjLK4GAICOg3ATIAmNq6WMYcUUAADBRLgJkHCHXbERDZOKD1TWWlwNAAAdB+EmgBIbh6aKCTcAAAQN4SaAEhuHpooqGJYCACBYCDcB1DSpmGEpAACCh3ATQJ2iGZYCACDYCDcB1LRi6gD3ugEAIGgINwHUNKH4QAU9NwAABAvhJoASo5lzAwBAsBFuAiiRYSkAAIKOcBNA3OcGAIDgI9wEUAL3uQEAIOjaRLiZP3++MjIyFBERoTFjxmjFihVHbfviiy/KZrP5bBEREUGs9tgduhTcGB6eCQBAMFgebhYtWqSZM2dqzpw5Wr16tYYOHarx48eroKDgqOfExcVp79693m3nzp1BrPjYNQ1L1XuMymvqLa4GAICOwfJw8/jjj+uGG27Q1KlTNXDgQD311FOKiorS888/f9RzbDab0tLSvFtqamoQKz52EeEORYQ3XOJiJhUDABAUloab2tparVq1SllZWd59drtdWVlZysnJOep55eXlOumkk5Senq6f/OQn2rhxYzDKPS6dGntvirjXDQAAQWFpuCksLJTb7W7W85Kamqq8vLwjntO/f389//zzevvtt/XKK6/I4/Fo7Nix2r179xHb19TUqLS01GcLJp4vBQBAcFk+LNVamZmZmjx5soYNG6YzzjhDb7zxhjp37qynn376iO3nzp2r+Ph475aenh7UepNi6LkBACCYLA03ycnJcjgcys/P99mfn5+vtLS0Y3qP8PBwDR8+XNu2bTvi8VmzZqmkpMS75ebmnnDdrZHUuGKqsLwmqJ8LAEBHZWm4cTqdGjFihLKzs737PB6PsrOzlZmZeUzv4Xa7tX79enXp0uWIx10ul+Li4ny2YEqOcUmSCsvpuQEAIBjCrC5g5syZmjJlikaOHKnRo0dr3rx5qqio0NSpUyVJkydPVrdu3TR37lxJ0oMPPqgf/ehH6tOnj4qLi/XHP/5RO3fu1C9/+Usrv8ZRJcc2hRt6bgAACAbLw83EiRO1b98+zZ49W3l5eRo2bJiWLVvmnWS8a9cu2e0HO5gOHDigG264QXl5eUpMTNSIESP0+eefa+DAgVZ9hRbRcwMAQHDZTAe7dW5paani4+NVUlISlCGqj7YUaOoLKzWwS5yWzjg94J8HAEAoas3f73a3Wqq96RzDsBQAAMFEuAmwpmGpoopaeTwdqpMMAABLEG4CrOnhmfUeo5IqHsEAAECgEW4CzBlmV3xkuCSGpgAACAbCTRAkN96leB/hBgCAgCPcBEHTvJv9LAcHACDgCDdBwI38AAAIHsJNECTzfCkAAIKGcBME3rsUlzEsBQBAoBFugqBpWGp/BT03AAAEGuEmCJruUlxQRrgBACDQCDdBkBoXIUnKL622uBIAAEIf4SYIUuMbem72ldWo3u2xuBoAAEIb4SYIkqJdctht8hipkHvdAAAQUISbIHDYbUppnFScx9AUAAABRbgJEubdAAAQHISbIEkj3AAAEBSEmyBJjWsclioh3AAAEEiEmyBJjW/ouWHODQAAgXVc4ebBBx9UZWVls/1VVVV68MEHT7ioUNQ0LFVQyo38AAAIpOMKNw888IDKy8ub7a+srNQDDzxwwkWFoqYJxfTcAAAQWMcVbowxstlszfavXbtWnTp1OuGiQpF3tRRzbgAACKiw1jROTEyUzWaTzWZTv379fAKO2+1WeXm5brrpJr8XGQrSGufclNXUq6KmXtGuVl16AABwjFr1F3bevHkyxujnP/+5HnjgAcXHx3uPOZ1OZWRkKDMz0+9FhoIYV5iinQ5V1LqVX1qtXp1jrC4JAICQ1KpwM2XKFElSz549NW7cOIWF0fvQGqnxEdq+r0J5JYQbAAAC5bjm3MTGxmrz5s3e12+//bYmTJig3/3ud6qt5dlJR9MtIVKStLu4yuJKAAAIXccVbn71q19p69atkqTt27dr4sSJioqK0uLFi/Xb3/7WrwWGku6JDeFmzwHCDQAAgXJc4Wbr1q0aNmyYJGnx4sU644wz9Oqrr+rFF1/U3//+d3/WF1Kaem720HMDAEDAHPdScI/HI0n64IMPdOGFF0qS0tPTVVhY6L/qQky3xp6b3Qea3wARAAD4x3GFm5EjR+qhhx7Syy+/rE8++UQXXXSRJOm7775TamqqXwsMJd0ToyTRcwMAQCAdV7iZN2+eVq9erVtvvVX33HOP+vTpI0lasmSJxo4d69cCQ0nTsNTe4mq5PcbiagAACE3HtZb7lFNO0fr165vt/+Mf/yiHw3HCRYWq1LgIhdltqvcYFZRVq0t8pNUlAQAQck7oRjWrVq3yLgkfOHCgTj31VL8UFaocdpvS4iO0+0CVdh+oItwAABAAxxVuCgoKNHHiRH3yySdKSEiQJBUXF+uss87SwoUL1blzZ3/WGFK6J0Zq94Eq7TlQpVEZVlcDAEDoOa45N9OnT1d5ebk2btyooqIiFRUVacOGDSotLdVtt93m7xpDSrcEJhUDABBIx9Vzs2zZMn3wwQc6+eSTvfsGDhyo+fPn67zzzvNbcaHo4HJwwg0AAIFwXD03Ho9H4eHhzfaHh4d773+DI+uewL1uAAAIpOMKN2effbZmzJih77//3rtvz549uuOOO3TOOef4rbhQ1L0TPTcAAATScYWbJ598UqWlpcrIyFDv3r3Vu3dv9ezZU6WlpXriiSf8XWNIyUiKliTlFlWq3k0vFwAA/nZcc27S09O1evVqffDBB/r6668lSSeffLKysrL8WlwoSouLkCvMrpp6j/YUV+mkxrADAAD8o1U9Nx9++KEGDhyo0tJS2Ww2nXvuuZo+fbqmT5+uUaNGadCgQfrPf/4TqFpDgt1u00lJDSumduxn3g0AAP7WqnAzb9483XDDDYqLi2t2LD4+Xr/61a/0+OOP+624UNXUW7OjsMLiSgAACD2tCjdr167V+eeff9Tj5513nlatWnXCRYW6nsmN4WY/4QYAAH9rVbjJz88/4hLwJmFhYdq3b98JFxXqmoaldjIsBQCA37Uq3HTr1k0bNmw46vF169apS5cuJ1xUqOuZRM8NAACB0qpwc+GFF+q+++5TdXV1s2NVVVWaM2eOLr74Yr8VF6pOSmY5OAAAgdKqpeD33nuv3njjDfXr10+33nqr+vfvL0n6+uuvNX/+fLndbt1zzz0BKTSUdImLkDPMrtp6j/aWVCu9U5TVJQEAEDJaFW5SU1P1+eef6+abb9asWbNkjJEk2Ww2jR8/XvPnz1dqampACg0ldrtNJ3WK0jcF5dqxv4JwAwCAH7X6Jn4nnXSSli5dqgMHDmjbtm0yxqhv375KTEwMRH0hKyM5Wt8UlOvbgnKd3rez1eUAABAyjusOxZKUmJioUaNG+bOWDqVvSoze35SvbfvKrS4FAICQclzPlsKJ65saI0n6Jp9wAwCAPxFuLNI3JVaStK2AcAMAgD8RbizSu3OMbDZpf0Wt9pfXWF0OAAAhg3BjkUinQ90TIyXRewMAgD8RbizUNDT1DeEGAAC/IdxYqG9Kw6Riem4AAPAfwo2F+jSGm28KyiyuBACA0EG4sVDf1IZhqa0sBwcAwG8INxZq6rnZV1bDiikAAPyEcGOhGFeYMpIaniu1eS9DUwAA+APhxmIDu8ZJkjbtLbG4EgAAQgPhxmKDusZLkjZ+X2pxJQAAhAbCjcUGdmnsuSHcAADgF20i3MyfP18ZGRmKiIjQmDFjtGLFimM6b+HChbLZbJowYUJgCwygpmGpb/eVq7rObXE1AAC0f5aHm0WLFmnmzJmaM2eOVq9eraFDh2r8+PEqKCho8bwdO3bozjvv1Omnnx6kSgMjJdalpGinPEbaksekYgAATpTl4ebxxx/XDTfcoKlTp2rgwIF66qmnFBUVpeeff/6o57jdbk2aNEkPPPCAevXqFcRq/c9ms3l7b5h3AwDAibM03NTW1mrVqlXKysry7rPb7crKylJOTs5Rz3vwwQeVkpKiX/ziFz/4GTU1NSotLfXZ2pqD4YYVUwAAnChLw01hYaHcbrdSU1N99qempiovL++I53z66ad67rnn9Oyzzx7TZ8ydO1fx8fHeLT09/YTr9remFVMb9hBuAAA4UZYPS7VGWVmZrrvuOj377LNKTk4+pnNmzZqlkpIS75abmxvgKltveHqCJGnT3lImFQMAcILCrPzw5ORkORwO5efn++zPz89XWlpas/bffvutduzYoUsuucS7z+PxSJLCwsK0ZcsW9e7d2+ccl8sll8sVgOr9p3tipJKindpfUauN35dqxEmJVpcEAEC7ZWnPjdPp1IgRI5Sdne3d5/F4lJ2drczMzGbtBwwYoPXr12vNmjXe7dJLL9VZZ52lNWvWtMkhp2Nhs9k0vEeCJGlNbrGltQAA0N5Z2nMjSTNnztSUKVM0cuRIjR49WvPmzVNFRYWmTp0qSZo8ebK6deumuXPnKiIiQoMHD/Y5PyEhQZKa7W9vhqUn6IPNBfpq1wFJPa0uBwCAdsvycDNx4kTt27dPs2fPVl5enoYNG6Zly5Z5Jxnv2rVLdnu7mhp0XIb3aBiKoucGAIATYzPGGKuLCKbS0lLFx8erpKREcXFxVpfjVVZdp1Me+JeMkVbek6XOsW17nhAAAMHUmr/fod8l0k7ERoSrb0qMJHpvAAA4EYSbNmR4esPQ1Jc7iyyuBACA9otw04aM7tlJkvTFdsINAADHi3DThozp1RBu1u8pUUVNvcXVAADQPhFu2pDuiVHqlhApt8do1c4DVpcDAEC7RLhpY5p6b774br/FlQAA0D4RbtqYH/VMkiT9l3k3AAAcF8JNG9PUc7Nud7GqanmIJgAArUW4aWN6dIpSl/gI1bkNS8IBADgOhJs2xmazaVyfZEnSf74ptLgaAADaH8JNG/Tjfp0lSZ9s2WdxJQAAtD+Emzbo9D7JstmkLfllyiuptrocAADaFcJNG5QY7dTQ7gmSpH9vpfcGAIDWINy0Ud6hKcINAACtQrhpo85oDDefbitUvdtjcTUAALQfhJs2amj3eMVHhqukqk6rdxVbXQ4AAO0G4aaNCnPYdfaAFEnS8o15FlcDAED7Qbhpw8YPSpPUEG6MMRZXAwBA+0C4acPO6NdZEeF27T5QpU17S60uBwCAdoFw04ZFOh36cd+GicXLN+ZbXA0AAO0D4aaNaxqa+hfzbgAAOCaEmzbunJNT5LDb9HVembbvK7e6HAAA2jzCTRuXEOXU6X0bHqT59prvLa4GAIC2j3DTDkwY1k2S9PaaPayaAgDgBxBu2oFzB6YqMtyhHfsrtSa32OpyAABo0wg37UC0K0zjB6VKkt76ao/F1QAA0LYRbtqJnwxvGJr657q9quNZUwAAHBXhpp04vU+ykmOc2l9Rq4++LrC6HAAA2izCTTsR5rDrihHdJUmvrthlcTUAALRdhJt25NpRPSRJn2zdp90HKi2uBgCAtolw045kJEdrXJ8kGSMtWplrdTkAALRJhJt25trRDb03i1bmqp6JxQAANEO4aWfOG5impGinCspq9K9NPEwTAIDDEW7aGWeYXT8d09B78//+s93iagAAaHsIN+3QdZknyemwa/WuYq3aecDqcgAAaFMIN+1QSmyEfjKsqyTpuU/pvQEA4FCEm3bql6f3kiQt25Cn3CKWhQMA0IRw0071T4vVj/t1lsdIT33yrdXlAADQZhBu2rFbzuwtSXr9y1x9X1xlcTUAALQNhJt27Ee9kvSjXp1U5zb6y8fbrC4HAIA2gXDTzt2e1U9Sw0399tB7AwAA4aa9+1GvJGX2SlKd2+jJD+m9AQCAcBMCbs/qK6lh7s22gnKLqwEAwFqEmxAwpleSsk5Okdtj9Oh7m60uBwAASxFuQsTdF5wsh92mDzYX6PNvC60uBwAAyxBuQkSflBhNanzm1MPvbpbHYyyuCAAAaxBuQsiMc/oq1hWmjd+XauHKXKvLAQDAEoSbEJIU49Id5zYsDX/0vc3aV1ZjcUUAAAQf4SbETBmbocHd4lRaXa+H391kdTkAAAQd4SbEOOw2PXLZENlt0ltrvten3zC5GADQsRBuQtAp3RM0OTNDkjTrzXUqr6m3tiAAAIKIcBOifn1eP3VLiFRuUZUe+ifDUwCAjoNwE6JiI8L1p6uHymaTFq7MVfbmfKtLAgAgKAg3IexHvZL0i3E9JUl3/X299pezegoAEPoINyHuzvH91TclRoXlNfr14rXc3A8AEPIINyEuItyhP187XK4wuz7esk9/+ZgnhwMAQhvhpgM4uUucfj9hsCTp8fe36vNtLA8HAIQuwk0HcfXIdF01ors8Rrpt4Vf6vrjK6pIAAAgIwk0H8uBPBmtAWqwKy2v1i5e+VAX3vwEAhCDCTQcS6XTo/00ZqeQYpzbvLdWMhWvkZoIxACDEEG46mO6JUXpm8kg5w+z6YHO+Hn1vs9UlAQDgV4SbDujUHon601VDJUnP/uc7Pfvv7RZXBACA/7SJcDN//nxlZGQoIiJCY8aM0YoVK47a9o033tDIkSOVkJCg6OhoDRs2TC+//HIQqw0Nlwztqt+e31+S9PDSzXp9Za7FFQEA4B+Wh5tFixZp5syZmjNnjlavXq2hQ4dq/PjxKigoOGL7Tp066Z577lFOTo7WrVunqVOnaurUqVq+fHmQK2//bj6jt371416SpLvfWKf31u+1uCIAAE6czRhj6YzSMWPGaNSoUXryySclSR6PR+np6Zo+fbruvvvuY3qPU089VRdddJF+//vf/2Db0tJSxcfHq6SkRHFxcSdUeygwxmjWG+u1cGWuwh02zf/pqTpvUJrVZQEA4KM1f78t7bmpra3VqlWrlJWV5d1nt9uVlZWlnJycHzzfGKPs7Gxt2bJFP/7xj4/YpqamRqWlpT4bDrLZbHr4siG6+JQuqnMb3fK31Xp3HT04AID2y9JwU1hYKLfbrdTUVJ/9qampysvLO+p5JSUliomJkdPp1EUXXaQnnnhC55577hHbzp07V/Hx8d4tPT3dr98hFDjsNs2bOEyXDe+meo/R9NdW682vdltdFgAAx8XyOTfHIzY2VmvWrNHKlSv18MMPa+bMmfr444+P2HbWrFkqKSnxbrm5TJw9kjCHXY9dNVQTR6bLY6SZr6/Vyzk7rC4LAIBWC7Pyw5OTk+VwOJSfn++zPz8/X2lpR5/3Ybfb1adPH0nSsGHDtHnzZs2dO1dnnnlms7Yul0sul8uvdYcqh92muZcPkSvcrr/m7NR9b2/U7uIq3TV+gOx2m9XlAQBwTCztuXE6nRoxYoSys7O9+zwej7Kzs5WZmXnM7+PxeFRTUxOIEjscu92mBy4dpDvP6ydJevqT7bp90RrV1LstrgwAgGNjac+NJM2cOVNTpkzRyJEjNXr0aM2bN08VFRWaOnWqJGny5Mnq1q2b5s6dK6lhDs3IkSPVu3dv1dTUaOnSpXr55Ze1YMECK79GSLHZbLr17L7qmhCp3y5Zp3fWfq+9JVX6y6QR6hxLLxgAoG2zPNxMnDhR+/bt0+zZs5WXl6dhw4Zp2bJl3knGu3btkt1+sIOpoqJCt9xyi3bv3q3IyEgNGDBAr7zyiiZOnGjVVwhZl5/aXSmxEbr5lVVaueOALnniUz113QgNS0+wujQAAI7K8vvcBBv3uWm9b/eV68a/fqlv91XI6bDroQmDdfUoVp0BAIKn3dznBu1D784xemvaOJ03MFW1bo9++/d1+s3itaqoqbe6NAAAmiHc4JjERoTrqZ+N0J3n9ZPdJi1etVuXPPGpNuwpsbo0AAB8EG5wzOz2honGr93wI3WJj9D2wgpd9pfP9Oy/t8vj6VCjmwCANoxwg1Yb0ytJ7804XecPSlOd2+jhpZs18Zkcbd9XbnVpAAAQbnB8EqKcWvCzU/XIZUMU7XRo5Y4DuuD//qNn/v2t3PTiAAAsRLjBcbPZbPrpmB5afsePdXrfZNXUe/TI0q91+YLPtfF75uIAAKxBuMEJ654Ypb/+fLT+cMUpio0I09rcYl3yxKea/fYGFVfWWl0eAKCDIdzAL2w2m64ela737zhDF5/SRR4j/TVnp87+0ydauGIXE44BAEHDTfwQEJ9/W6j739morfkNk4wHdY3T3RcM0Ol9O1tcGQCgPWrN32/CDQKmzu3RX3N2at77W1XWeMO/0/ok667zB2hI93iLqwMAtCeEmxYQboKvqKJW8z/appdzdqrW7ZEkXTK0q2ac01d9UmIsrg4A0B4QblpAuLFOblGlHn9/q95as0fGSDabdOGQLpp+dh8NSOO/BQDg6Ag3LSDcWG/j9yX6vw++0b825Xv3nTcwVbed01eDuzFcBQBojnDTAsJN27F5b6me/HCblm7Yq6b/FY7tnaRfnNZTZ/VPkd1us7ZAAECbQbhpAeGm7fkmv0zzP9qmf6zb6727ca/kaE09raeuOLWbopxhFlcIALAa4aYFhJu2a09xlV76fIdeW7FLZdUNq6viI8M1cVS6rhmVrl6dmXwMAB0V4aYFhJu2r7ymXku+zNULn+/Qzv2V3v2ZvZJ07ZgeGj8oVa4wh4UVAgCCjXDTAsJN++H2GH30dYFeW7FLH20pUNNNjhOjwnXliO66ckS6+qfFWlskACAoCDctINy0T98XV2nRylwtWpmrvNJq7/6Tu8TpsuFddenQbkqLj7CwQgBAIBFuWkC4ad/q3R59snWfFq3M1UdbClTnbvifr83WsNJqwrBuGj84TXER4RZXCgDwJ8JNCwg3oaO4slbvrt+rt77ao5U7Dnj3Ox12jeuTpAsGd9G5A1OVGO20sEoAgD8QblpAuAlNuUWVenvNHr215nttKyj37nfYbcrslaTzB6fpvEGpSoll6AoA2iPCTQsIN6Hvm/wyvbchT+9tyNPmvaXe/TabNLR7gs7qn6KzB6RoUNc4bhQIAO0E4aYFhJuOZUdhhZZtbAg6a3OLfY51jnXpzH6ddfaAFJ3WN1mxzNMBgDaLcNMCwk3HlVdSrY+3FOjDrwv06bZCVda6vcfC7Dad2iNRY/skaVyfZA1LT1C4w25htQCAQxFuWkC4gSTV1Lu18rsD+vDrAn28pUDbCyt8jkc5HRrds5PG9U7W2D5JOjmNISwAsBLhpgWEGxzJzv0V+mzbfn22rVCff1uoA5V1Psc7RTs1KiNRozI6aWRGJw3qGkfPDgAEEeGmBYQb/BCPx2hzXqk+37Zfn31bqBXfFfkMYUlSZLhDw3skaGRGJ43KSNTwHomKcfGATwAIFMJNCwg3aK3aeo/W7ynWyh0H9OWOIq3ccUAlVb49O3abNCAtTkPTEzQsPV5D0xPUNyVWDoayAMAvCDctINzgRHk8Rt/uKz8YdnYWKbeoqlm7yHCHhnSL19D0eJ3SPUHD0hPUPTFSNhuBBwBai3DTAsINAiGvpFprcg9oTW6J1uYWa/2eEpXX1DdrlxgVrkFd4zWwa5wGdonTwK5x6pUcrTDm7wBAiwg3LSDcIBjcHqPt+8q1dndD2Fm7u1ib95Z6n4V1KGeYXf1TY71hZ2DXOA1Ii+W+OwBwCMJNCwg3sEp1nVtb8sq0eW+pNu0t1abvS7V5b6kqDpus3KRbQqT6psaob0qM+qbGql9qrPqkxDBxGUCHRLhpAeEGbYnHY7SrqNIn8GzaW6q9JdVHPadbQqT6pMSoX2qM+qbEqm9qjHp1jlF8JD09AEIX4aYFhBu0B8WVtfqmoFxb88v0TX65viko09b8cu0rqznqOUnRTmUkR6tn49YrOVoZydHKSIpWpNMRxOoBwP8INy0g3KA9awo93+Q3BJ9tBQ3BJ7/06KFHkrrGR6hn54ag0zM5WiclRSu9U6TSE6MUzTAXgHaAcNMCwg1CUXlNvXYUVui7wgrvz+2NPw+/J8/hkqKd6t4pSumJkUrvFKUenaKUnhil9E6R6poQyZ2YAbQJhJsWEG7Q0RyoqPUGne8Ky7WjsFK7iiqVe6BSxZUtBx+7TeoSH6n0TpHqnhilrvER6pLQEHqafmeCM4BgaM3fb/5VAkJcYrRTI6KdGnFSYrNjpdV1yi2qVG5RVcPPA43Bp6hSuw9Uqabeoz3FVdpTXCWp6IjvHxcRpq4JkeoSH9EQeg79PT5SqfEuucKY8wMgeAg3QAcWF9FwU8FBXeObHfN4jPaV1yi3qCHwfF9cpe9LqrW3uErfF1fr+5IqlVXXq7S6XqV5Zfo6r+yon5MU7VTnWJdS4yKUGtfwMyXWpZS4CO++5BgXQ2AA/IJwA+CI7HZbY/CI0MiMTkdsU1Zdp70l1fq+uMr78/viau0tqfKGodp6j/ZX1Gp/RW2LAchmawhBKbENYcf7My5CyTEuJcc4lRzjUlKMUzGuMB5jAeCoCDcAjltsRLhiI8LVLzX2iMeNMSqqqFV+aY0KyqpVUFqj/NJqFZQ1/Mwvq1FBabX2ldWo3mNUWF6rwvJabdrb8ue6wuzewJPk89M3BCVFu9Qp2skDTIEOhnADIGBsNpuSYlxKinFpoI4+AdDjMSqqrPUGn4LSam8gyi+tUWF5jfaX16qwvEaVte7D5gL9UA1Sp6iGwJMQFa5O0U4lRDnVKTpciVHOhs3nd6fiIugZAtozwg0Ay9nttsZeF5cG/UDbytp6b9Dx/qyo1b6yhp+FZTXaX9FwrKiyVsbIOyx2rBx2mxKjwhtCUJSzWShKaAxC8ZHhiosMU3xkuOIjwxUZ7iAUAW0A4QZAuxLlDFNUpzCld4r6wbb1bo8OVNZ5g9CBysatos77e1FFrYor6xp/1qqi1i33IUNkrRHusDUGnnDFRYR7Q8+hW1MYijtsP/OIAP8h3AAIWWEOuzrHutQ51nXM59TUu71hpykIFVXWqriioSfIG4Sq6lRaVaeSxs3tMapzH18okhruKdQUimIjwhTjClNsRJhiI8K9v8c0vo5teu1qfB1x8HUYK84Awg0AHMoV5lBqnEOpcRHHfI4xRpW1bm/QadpKD/tZUlWn0ur6Zu1q6z3yGKm4su4Hb6z4QyLDHY0hKKwxBB0WjlxhinaFKcoVpminQ9GuMEU7wxTlcijGFaYop0PRzoY2zjCCEtonwg0AnCCbzdYQElwNNzRsreo698EgVF2vsuo6ldfUq6y6XuWNr8sOfV1T17i/XmU1Dfuq6tySpKo6t6rq3C0+ZPVYhTtsinKGeUOPbyBqeH14IIp2ORTlbPgZ7Ww4FhHuUJTToUinQxFhDtlZvYYAI9wAgMUiwhsCQEoreosOV+f2qKIxAJUdFpAaglFDICqvqVdFjVsVNfWqqK1XZe0hv9e4VV5Tr5p6T+N7Gm/vkj9FhNsVGd4QgiLC7YpyhikyvCH8eH82/u4Tjg5rc/CY7/nhDhvzlzo4wg0AhIBwh10JUQ0ruk5Uvdujilq3KmsPC0I1blU07qusbQhK3nBUU+89p7zGrcrGfVV1bu/y/SbVdR5V1zVM9g4Eh92myHCHIsLtcoU1/IwId8gVZvcGyUOPNfw89Pjh7e2KCHPIdUjbw9twd+22hXADAPAR5rArPtKu+Mhwv72nx2NUXd8QdKpqG4bOqmobXlc3DqVVevfXq6rWo8q6elXXHtxf7dPm4DnVtW5V1jWscpMkt8eovKZe5Sc+MnfMHHabIsLscoU7FNEYeFyN4cfVuN/paPjdGXbwp9PR9NrR8PqQ467G465wu5wOh8+xpnNdh53LDSsbEG4AAAFntzfM34lyBu7PTm29xyf4VNc19BhVN/5eXedRTb1bNXUeVdc3Hvf+7vFpc/Dnoe/h8Xl9aG+U22NUUetWRa07YN/vWDjstiMEJ7ucjQHo0NDkPKRd+CH7wh02hTvsCm8MT02/hztsB9t729rlDLP5vnbYFel0KDnm2Fcp+hvhBgAQEpr+WPuzx6klxhjV1Ht8wtKh4agpVNW6G9rUuj2qrW84Xlvf+Pthx3yOe9sfeqzpdeP71ntkzMGa3J6GlXuVFoesoekJenvaOMs+n3ADAMBxsNls3jk88QpOoDqcMUb1HuMTfhqCkfuQIOQbjmrdbp/Xde6G8+vcDVtTqGp4bbxBy3u83qNat1Fd/cH2dY37auvdqnMbRYZbOweJcAMAQDtls9m8w0jR1o0CtTlM7wYAACGFcAMAAEIK4QYAAIQUwg0AAAgphBsAABBSCDcAACCkEG4AAEBIaRPhZv78+crIyFBERITGjBmjFStWHLXts88+q9NPP12JiYlKTExUVlZWi+0BAEDHYnm4WbRokWbOnKk5c+Zo9erVGjp0qMaPH6+CgoIjtv/444917bXX6qOPPlJOTo7S09N13nnnac+ePUGuHAAAtEU2Yw59KkXwjRkzRqNGjdKTTz4pSfJ4PEpPT9f06dN19913/+D5brdbiYmJevLJJzV58uQfbF9aWqr4+HiVlJQoLi7uhOsHAACB15q/35b23NTW1mrVqlXKysry7rPb7crKylJOTs4xvUdlZaXq6urUqVOnIx6vqalRaWmpzwYAAEKXpeGmsLBQbrdbqampPvtTU1OVl5d3TO9x1113qWvXrj4B6VBz585VfHy8d0tPTz/hugEAQNtl+ZybE/Hoo49q4cKFevPNNxUREXHENrNmzVJJSYl3y83NDXKVAAAgmCx9KnhycrIcDofy8/N99ufn5ystLa3Fcx977DE9+uij+uCDD3TKKacctZ3L5ZLLxaNSAQDoKCwNN06nUyNGjFB2drYmTJggqWFCcXZ2tm699dajnveHP/xBDz/8sJYvX66RI0e26jOb5k8z9wYAgPaj6e/2Ma2DMhZbuHChcblc5sUXXzSbNm0yN954o0lISDB5eXnGGGOuu+46c/fdd3vbP/roo8bpdJolS5aYvXv3ereysrJj+rzc3FwjiY2NjY2Nja0dbrm5uT/4t97SnhtJmjhxovbt26fZs2crLy9Pw4YN07Jly7yTjHft2iW7/eDUoAULFqi2tlZXXnmlz/vMmTNH999//w9+XteuXZWbm6vY2FjZbDa/fpfS0lKlp6crNzeXZeYBxHUODq5zcHCdg4drHRyBus7GGJWVlalr164/2Nby+9yEEu6hExxc5+DgOgcH1zl4uNbB0Rauc7teLQUAAHA4wg0AAAgphBs/crlcmjNnDkvPA4zrHBxc5+DgOgcP1zo42sJ1Zs4NAAAIKfTcAACAkEK4AQAAIYVwAwAAQgrhBgAAhBTCjZ/Mnz9fGRkZioiI0JgxY7RixQqrS2rT5s6dq1GjRik2NlYpKSmaMGGCtmzZ4tOmurpa06ZNU1JSkmJiYnTFFVc0e8jqrl27dNFFFykqKkopKSn6zW9+o/r6ep82H3/8sU499VS5XC716dNHL774YqC/Xpv06KOPymaz6fbbb/fu4xr7z549e/Szn/1MSUlJioyM1JAhQ/Tll196jxtjNHv2bHXp0kWRkZHKysrSN9984/MeRUVFmjRpkuLi4pSQkKBf/OIXKi8v92mzbt06nX766YqIiFB6err+8Ic/BOX7tQVut1v33XefevbsqcjISPXu3Vu///3vfZ41xHVuvX//+9+65JJL1LVrV9lsNr311ls+x4N5TRcvXqwBAwYoIiJCQ4YM0dKlS4/vS7XqQVA4ooULFxqn02mef/55s3HjRnPDDTeYhIQEk5+fb3Vpbdb48ePNCy+8YDZs2GDWrFljLrzwQtOjRw9TXl7ubXPTTTeZ9PR0k52dbb788kvzox/9yIwdO9Z7vL6+3gwePNhkZWWZr776yixdutQkJyebWbNmedts377dREVFmZkzZ5pNmzaZJ554wjgcDrNs2bKgfl+rrVixwmRkZJhTTjnFzJgxw7ufa+wfRUVF5qSTTjLXX3+9+eKLL8z27dvN8uXLzbZt27xtHn30URMfH2/eeusts3btWnPppZeanj17mqqqKm+b888/3wwdOtT897//Nf/5z39Mnz59zLXXXus9XlJSYlJTU82kSZPMhg0bzGuvvWYiIyPN008/HdTva5WHH37YJCUlmX/+85/mu+++M4sXLzYxMTHm//7v/7xtuM6tt3TpUnPPPfeYN954w0gyb775ps/xYF3Tzz77zDgcDvOHP/zBbNq0ydx7770mPDzcrF+/vtXfiXDjB6NHjzbTpk3zvna73aZr165m7ty5FlbVvhQUFBhJ5pNPPjHGGFNcXGzCw8PN4sWLvW02b95sJJmcnBxjTMP/Ie12u/chq8YYs2DBAhMXF2dqamqMMcb89re/NYMGDfL5rIkTJ5rx48cH+iu1GWVlZaZv377m/fffN2eccYY33HCN/eeuu+4yp5122lGPezwek5aWZv74xz969xUXFxuXy2Vee+01Y4wxmzZtMpLMypUrvW3ee+89Y7PZzJ49e4wxxvzlL38xiYmJ3mvf9Nn9+/f391dqky666CLz85//3Gff5ZdfbiZNmmSM4Tr7w+HhJpjX9OqrrzYXXXSRTz1jxowxv/rVr1r9PRiWOkG1tbVatWqVsrKyvPvsdruysrKUk5NjYWXtS0lJiSSpU6dOkqRVq1aprq7O57oOGDBAPXr08F7XnJwcDRkyxPuQVUkaP368SktLtXHjRm+bQ9+jqU1H+m8zbdo0XXTRRc2uA9fYf9555x2NHDlSV111lVJSUjR8+HA9++yz3uPfffed8vLyfK5TfHy8xowZ43OtExISNHLkSG+brKws2e12ffHFF942P/7xj+V0Or1txo8fry1btujAgQOB/pqWGzt2rLKzs7V161ZJ0tq1a/Xpp5/qggsukMR1DoRgXlN//ltCuDlBhYWFcrvdPv/4S1Jqaqry8vIsqqp98Xg8uv322zVu3DgNHjxYkpSXlyen06mEhASftode17y8vCNe96ZjLbUpLS1VVVVVIL5Om7Jw4UKtXr1ac+fObXaMa+w/27dv14IFC9S3b18tX75cN998s2677Ta99NJLkg5eq5b+ncjLy1NKSorP8bCwMHXq1KlV/z1C2d13361rrrlGAwYMUHh4uIYPH67bb79dkyZNksR1DoRgXtOjtTmeax7W6jMAP5s2bZo2bNigTz/91OpSQkpubq5mzJih999/XxEREVaXE9I8Ho9GjhypRx55RJI0fPhwbdiwQU899ZSmTJlicXWh4/XXX9ff/vY3vfrqqxo0aJDWrFmj22+/XV27duU6wwc9NycoOTlZDoej2QqT/Px8paWlWVRV+3Hrrbfqn//8pz766CN1797duz8tLU21tbUqLi72aX/odU1LSzvidW861lKbuLg4RUZG+vvrtCmrVq1SQUGBTj31VIWFhSksLEyffPKJ/vznPyssLEypqalcYz/p0qWLBg4c6LPv5JNP1q5duyQdvFYt/TuRlpamgoICn+P19fUqKipq1X+PUPab3/zG23szZMgQXXfddbrjjju8PZNcZ/8L5jU9WpvjueaEmxPkdDo1YsQIZWdne/d5PB5lZ2crMzPTwsraNmOMbr31Vr355pv68MMP1bNnT5/jI0aMUHh4uM913bJli3bt2uW9rpmZmVq/fr3P/6nef/99xcXFef/QZGZm+rxHU5uO8N/mnHPO0fr167VmzRrvNnLkSE2aNMn7O9fYP8aNG9fsVgZbt27VSSedJEnq2bOn0tLSfK5TaWmpvvjiC59rXVxcrFWrVnnbfPjhh/J4PBozZoy3zb///W/V1dV527z//vvq37+/EhMTA/b92orKykrZ7b5/thwOhzwejySucyAE85r69d+SVk9BRjMLFy40LpfLvPjii2bTpk3mxhtvNAkJCT4rTODr5ptvNvHx8ebjjz82e/fu9W6VlZXeNjfddJPp0aOH+fDDD82XX35pMjMzTWZmpvd40zLl8847z6xZs8YsW7bMdO7c+YjLlH/zm9+YzZs3m/nz53e4ZcqHOnS1lDFcY39ZsWKFCQsLMw8//LD55ptvzN/+9jcTFRVlXnnlFW+bRx991CQkJJi3337brFu3zvzkJz854nLa4cOHmy+++MJ8+umnpm/fvj7LaYuLi01qaqq57rrrzIYNG8zChQtNVFRUyC5RPtyUKVNMt27dvEvB33jjDZOcnGx++9vfettwnVuvrKzMfPXVV+arr74ykszjjz9uvvrqK7Nz505jTPCu6WeffWbCwsLMY489ZjZv3mzmzJnDUnCrPfHEE6ZHjx7G6XSa0aNHm//+979Wl9SmSTri9sILL3jbVFVVmVtuucUkJiaaqKgoc9lll5m9e/f6vM+OHTvMBRdcYCIjI01ycrL59a9/berq6nzafPTRR2bYsGHG6XSaXr16+XxGR3N4uOEa+88//vEPM3jwYONyucyAAQPMM88843Pc4/GY++67z6SmphqXy2XOOeccs2XLFp82+/fvN9dee62JiYkxcXFxZurUqaasrMynzdq1a81pp51mXC6X6datm3n00UcD/t3aitLSUjNjxgzTo0cPExERYXr16mXuuecen+XFXOfW++ijj4747/GUKVOMMcG9pq+//rrp16+fcTqdZtCgQebdd989ru9kM+aQWzsCAAC0c8y5AQAAIYVwAwAAQgrhBgAAhBTCDQAACCmEGwAAEFIINwAAIKQQbgAAQEgh3ADokGw2m9566y2rywAQAIQbAEF3/fXXy2azNdvOP/98q0sDEALCrC4AQMd0/vnn64UXXvDZ53K5LKoGQCih5waAJVwul9LS0ny2pqcD22w2LViwQBdccIEiIyPVq1cvLVmyxOf89evX6+yzz1ZkZKSSkpJ04403qry83KfN888/r0GDBsnlcqlLly669dZbfY4XFhbqsssuU1RUlPr27at33nnHe+zAgQOaNGmSOnfurMjISPXt27dZGAPQNhFuALRJ9913n6644gqtXbtWkyZN0jXXXKPNmzdLkioqKjR+/HglJiZq5cqVWrx4sT744AOf8LJgwQJNmzZNN954o9avX6933nlHffr08fmMBx54QFdffbXWrVunCy+8UJMmTVJRUZH38zdt2qT33ntPmzdv1oIFC5ScnBy8CwDg+B3X4zYB4ARMmTLFOBwOEx0d7bM9/PDDxpiGp8bfdNNNPueMGTPG3HzzzcYYY5555hmTmJhoysvLvcffffddY7fbTV5enjHGmK5du5p77rnnqDVIMvfee6/3dXl5uZFk3nvvPWOMMZdccomZOnWqf74wgKBizg0AS5x11llasGCBz75OnTp5f8/MzPQ5lpmZqTVr1kiSNm/erKFDhyo6Otp7fNy4cfJ4PNqyZYtsNpu+//57nXPOOS3WcMopp3h/j46OVlxcnAoKCiRJN998s6644gqtXr1a5513niZMmKCxY8ce13cFEFyEGwCWiI6ObjZM5C+RkZHH1C48PNzntc1mk8fjkSRdcMEF2rlzp5YuXar3339f55xzjqZNm6bHHnvM7/UC8C/m3ABok/773/82e33yySdLkk4++WStXbtWFRUV3uOfffaZ7Ha7+vfvr9jYWGVkZCg7O/uEaujcubOmTJmiV155RfPmzdMzzzxzQu8HIDjouQFgiZqaGuXl5fnsCwsL807aXbx4sUaOHKnTTjtNf/vb37RixQo999xzkqRJkyZpzpw5mjJliu6//37t27dP06dP13XXXafU1FRJ0v3336+bbrpJKSkpuuCCC1RWVqbPPvtM06dPP6b6Zs+erREjRmjQoEGqqanRP//5T2+4AtC2EW4AWGLZsmXq0qWLz77+/fvr66+/ltSwkmnhwoW65ZZb1KVLF7322msaOHCgJCkqKkrLly/XjBkzNGrUKEVFRemKK67Q448/7n2vKVOmqLq6Wv/7v/+rO++8U8nJybryyiuPuT6n06lZs2Zpx44dioyM1Omnn66FCxf64ZsDCDSbMcZYXQQAHMpms+nNN9/UhAkTrC4FQDvEnBsAABBSCDcAACCkMOcGQJvDaDmAE0HPDQAACCmEGwAAEFIINwAAIKQQbgAAQEgh3AAAgJBCuAEAACGFcAMAAEIK4QYAAIQUwg0AAAgp/x9dXCHANRRTIAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "\n",
     "bias_2d, thetas_2d, hist_2d = fit(X_train, y_train, alpha=0.1, num_epochs=10000, display_every=1000)\n",
@@ -991,9 +1359,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "decision boundary: -12.653 + 1.382 * x1 + 1.116 * x2 = 0\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "print(\"decision boundary: %.3f + %.3f * x1 + %.3f * x2 = 0\"\n",
     "      % (bias_2d, thetas_2d[0], thetas_2d[1]))\n",
@@ -1044,14 +1430,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 40,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 0, 1, 1, 0, 1, 1, 0, 0, 0])"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# y_pred = ..."
+    "y_pred = predict(X_test, bias_2d, thetas_2d)\n",
+    "y_pred = (y_pred > 0.5).astype(int)\n",
+    "y_pred"
    ]
   },
   {
@@ -1089,7 +1488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1116,15 +1515,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# cm = ...\n",
-    "# plot..."
+    "cm = compute_confusion_matrix(y_test, y_pred)\n",
+    "plot_confusion_matrix(cm)"
    ]
   },
   {
@@ -1160,7 +1570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1203,16 +1613,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true,
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9\n",
+      "F1 Score: 0.888888888888889\n"
+     ]
+    }
+   ],
    "source": [
-    "# accuracy = ...\n",
-    "# f1 = ..."
+    "accuracy = accuracy_score(cm)\n",
+    "f1 = f1_score(cm)\n",
+    "print(f\"Accuracy: {accuracy}\\nF1 Score: {f1}\")"
    ]
   },
   {
diff --git a/notebooks/05B Model Diagnostics/Debugging Decision Trees and Random Forest.ipynb b/notebooks/05B Model Diagnostics/Debugging Decision Trees and Random Forest.ipynb
index 3191d3f0b59578babca35e4cbee7a67c7e70175d..db6d6b6f9a190e2b6c78b5f3e738df16fafcc3f6 100644
--- a/notebooks/05B Model Diagnostics/Debugging Decision Trees and Random Forest.ipynb	
+++ b/notebooks/05B Model Diagnostics/Debugging Decision Trees and Random Forest.ipynb	
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -61,9 +61,139 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Price</th>\n",
+       "      <th>Mileage</th>\n",
+       "      <th>Color</th>\n",
+       "      <th>Doors</th>\n",
+       "      <th>Horsepower</th>\n",
+       "      <th>EngineSize</th>\n",
+       "      <th>Seats</th>\n",
+       "      <th>Cylinders</th>\n",
+       "      <th>Gears</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Brand</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>44800</td>\n",
+       "      <td>27600</td>\n",
+       "      <td>anthrazit</td>\n",
+       "      <td>2</td>\n",
+       "      <td>320</td>\n",
+       "      <td>4973</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>MERCEDES-BENZ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>22800</td>\n",
+       "      <td>18300</td>\n",
+       "      <td>anthrazit</td>\n",
+       "      <td>4</td>\n",
+       "      <td>286</td>\n",
+       "      <td>4398</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>BMW</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>183710</td>\n",
+       "      <td>650</td>\n",
+       "      <td>anthrazit</td>\n",
+       "      <td>5</td>\n",
+       "      <td>350</td>\n",
+       "      <td>4172</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>24</td>\n",
+       "      <td>AUDI</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>19900</td>\n",
+       "      <td>32000</td>\n",
+       "      <td>anthrazit</td>\n",
+       "      <td>5</td>\n",
+       "      <td>150</td>\n",
+       "      <td>2198</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22</td>\n",
+       "      <td>OPEL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>18999</td>\n",
+       "      <td>118000</td>\n",
+       "      <td>anthrazit</td>\n",
+       "      <td>5</td>\n",
+       "      <td>163</td>\n",
+       "      <td>2401</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19</td>\n",
+       "      <td>VOLVO</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Price  Mileage      Color  Doors  Horsepower  EngineSize  Seats  \\\n",
+       "0   44800    27600  anthrazit      2         320        4973      2   \n",
+       "1   22800    18300  anthrazit      4         286        4398      5   \n",
+       "2  183710      650  anthrazit      5         350        4172      5   \n",
+       "3   19900    32000  anthrazit      5         150        2198      7   \n",
+       "4   18999   118000  anthrazit      5         163        2401      5   \n",
+       "\n",
+       "   Cylinders  Gears  Age          Brand  \n",
+       "0          8      5   12  MERCEDES-BENZ  \n",
+       "1          8      5   15            BMW  \n",
+       "2          8      6   24           AUDI  \n",
+       "3          4      6   22           OPEL  \n",
+       "4          5      5   19          VOLVO  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df = pd.read_csv(\"cars.csv\")\n",
     "\n",
@@ -87,9 +217,139 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Price</th>\n",
+       "      <th>Mileage</th>\n",
+       "      <th>Color</th>\n",
+       "      <th>Doors</th>\n",
+       "      <th>Horsepower</th>\n",
+       "      <th>EngineSize</th>\n",
+       "      <th>Seats</th>\n",
+       "      <th>Cylinders</th>\n",
+       "      <th>Gears</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Brand</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>44800</td>\n",
+       "      <td>27600</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>320</td>\n",
+       "      <td>4973</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>22800</td>\n",
+       "      <td>18300</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>286</td>\n",
+       "      <td>4398</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>183710</td>\n",
+       "      <td>650</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>350</td>\n",
+       "      <td>4172</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>24</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>19900</td>\n",
+       "      <td>32000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>150</td>\n",
+       "      <td>2198</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>18999</td>\n",
+       "      <td>118000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>163</td>\n",
+       "      <td>2401</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>19</td>\n",
+       "      <td>66</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Price  Mileage  Color  Doors  Horsepower  EngineSize  Seats  Cylinders  \\\n",
+       "0   44800    27600      0      2         320        4973      2          8   \n",
+       "1   22800    18300      0      4         286        4398      5          8   \n",
+       "2  183710      650      0      5         350        4172      5          8   \n",
+       "3   19900    32000      0      5         150        2198      7          4   \n",
+       "4   18999   118000      0      5         163        2401      5          5   \n",
+       "\n",
+       "   Gears  Age  Brand  \n",
+       "0      5   12     40  \n",
+       "1      5   15      5  \n",
+       "2      6   24      3  \n",
+       "3      6   22     47  \n",
+       "4      5   19     66  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df[\"Brand\"] = df[\"Brand\"].astype(\"category\").cat.codes\n",
     "df[\"Color\"] = df[\"Color\"].astype(\"category\").cat.codes\n",
@@ -105,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,11 +375,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(32734, 10) (21824, 10)\n"
+     ]
+    }
+   ],
    "source": [
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.4, random_state=42)"
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.4, random_state=42)\n",
+    "print(X_train.shape, X_test.shape)"
    ]
   },
   {
@@ -133,14 +402,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
    "outputs": [],
    "source": [
-    "# dt = ..."
+    "dt = DecisionTreeRegressor(max_depth=30, min_samples_split=2, random_state=42)\n",
+    "model = dt.fit(X_train, y_train)"
    ]
   },
   {
@@ -162,6 +432,7 @@
    },
    "outputs": [],
    "source": [
+    "\n",
     "dt = DecisionTreeRegressor(max_depth=30, min_samples_split=2, random_state=42)\n",
     "dt.fit(X_train, y_train)"
    ]
@@ -175,14 +446,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9992472343502118"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# r2_train = ...\n",
+    "model.score(X_train, y_train)\n",
     "# print(\"r2 train:\", r2_train)"
    ]
   },
@@ -195,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -203,8 +486,17 @@
     "solution2": "hidden",
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "r2 train: 0.9992472343502118\n"
+     ]
+    }
+   ],
    "source": [
+    "\n",
     "y_pred = dt.predict(X_train)\n",
     "r2_train = r2_score(y_train, y_pred)\n",
     "print(\"r2 train:\", r2_train)"
@@ -221,15 +513,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "r2 cv: [0.85977357 0.88547175 0.85313659 0.87520921 0.86414655]\n"
+     ]
+    }
+   ],
    "source": [
-    "# r2_cv = ...\n",
-    "# print(\"r2 cv:\", r2_cv)"
+    "r2_cv = cross_val_score(model, X_train, y_train, cv=5, scoring='r2')\n",
+    "print(\"r2 cv:\", r2_cv)"
    ]
   },
   {
@@ -251,6 +551,7 @@
    },
    "outputs": [],
    "source": [
+    "\n",
     "r2_cv = np.mean(cross_val_score(dt, X_train, y_train, cv=5, scoring=\"r2\"))\n",
     "print(\"r2 cv:\", r2_cv)"
    ]
@@ -262,6 +563,13 @@
     "Our CV-Score looks rather disappointing. How is this behaviour called?"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OVERFITTING!!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -275,14 +583,33 @@
    "source": [
     "To further investigate on how our model performs, we plot the so called learning curve. We use the [learning_curve](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html) function from Scikit-Learn.\n",
     "\n",
-    "The learning curve shows the validation and the training score of our model for varying numbers of training samples. It is a nice tool to find out how much we benefit from adding more trianing data and wheter our model suffers from a variance error or a bias error. If both the validation score and the training score converge to a value that is too low with increasing size of the training set, we will not benefit much from more training data."
+    "The learning curve shows the validation and the training score of our model <font color=\"red\">for varying numbers of training samples.</font> It is a nice tool to find out how much we benefit from adding more trianing data and wheter our model suffers from a variance error or a bias error. If both the validation score and the training score converge to a value that is too low with increasing size of the training set, we will not benefit much from more training data."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cross validation r2-score: 0.8675512989243213\n",
+      "training r2-score 0.9993663808535546\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def plot_learning_curve(estimator, X, y, title):\n",
     "    plt.figure(figsize=(15,8))\n",
@@ -315,7 +642,7 @@
     "    print(\"cross validation r2-score:\", cv_scores_mean[-1])\n",
     "    print(\"training r2-score\", train_scores_mean[-1])\n",
     "    \n",
-    "plot_learning_curve(dt, X_train, y_train, \"Decision Tree\")"
+    "plot_learning_curve(model, X_train, y_train, \"Decision Tree\")"
    ]
   },
   {
@@ -327,9 +654,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best score 0.8442597631094749\n",
+      "Best params {'max_depth': 11, 'min_samples_split': 7, 'random_state': 42}\n"
+     ]
+    }
+   ],
    "source": [
     "parameters = {\n",
     "    \"max_depth\": range(10, 21),\n",
@@ -337,7 +673,7 @@
     "    \"random_state\": [42]\n",
     "}\n",
     "\n",
-    "gridSearch = GridSearchCV(dt, parameters, cv=5, scoring=\"r2\")\n",
+    "gridSearch = GridSearchCV(model, parameters, cv=5, scoring=\"r2\")\n",
     "gridSearch.fit(X_test, y_test)\n",
     "\n",
     "print(\"Best score\", gridSearch.best_score_)\n",
@@ -353,7 +689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -369,9 +705,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cross validation r2-score: 0.8798042877342873\n",
+      "training r2-score 0.9527663771803834\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+v9tasGCBkWTq6+tbvJZ33303fcyECROMJLN8+fL0fVdeeaUZNmxY+vZJJ51kevbsaZLJZPq+m266yfTs2TN9e+vv64cffmiCwaAJh8Mt6jnwwAPN73//e2OMMYWFhWbq1Kk7rR8AAOQOZrQBAICcNWnSJD3zzDNaunTpXp/jiCOOkN3+7x95Kisr1atXr/Rth8Oh0tLSFksHJWnAgAHpr51Op4499th0HZ988onef/99BQKB9K/DDjtMUvOMq5S+ffvutLa6ujp9//33GjhwYIv7Bw4cuE+veVvHHntsi9sNDQ26/vrr1bNnTxUXFysQCGjp0qW7nNF21FFHpb/2+/0KBoPbfd+25vP5dOCBB6ZvV1dXp4+vra3VunXr1K9fv/TjDodjl9+zTz75RFOnTm3xvR82bJiSyaRWrFghSSopKdFTTz2l3/3udzrwwAN18803tzjHwoULNWLECHXr1k2FhYU66aSTJGm717/1662srJTP59MBBxzQ4r5tX//xxx/fYp+6AQMG6KuvvlIikWj1tTQ0NKi0tLTF61mxYkX6fTR69GhdfvnlGjJkiCZOnNji/QUAAHKP0+oCAAAAdmTw4MEaNmyYxo4du93SPrvdvt3eV7FYbLtzbLvMzmaztXpfMpnc7boaGho0YsQITZo0abvHqqur01/7/f7dPmdb2raO66+/Xu+8844efPBBHXTQQSooKND/+3//b5cNG/b0+9ba8dv+me2phoYGXXnllbrmmmu2e6xbt27pr2fOnCmHw6E1a9aosbFRhYWFkqTGxkYNGzZMw4YN07PPPqvy8nKtXr1aw4YN2+71b11/Jt43rb2W6upqzZgxY7vHiouLJTUvX73gggv0+uuv680339T48eP1/PPP6yc/+clejwsAANoOM9oAAEBOmzhxol577TXNnTu3xf3l5eVau3Zti+Bm8eLFGRv3o48+Sn8dj8e1cOFC9ezZU5J0zDHH6PPPP1ePHj100EEHtfi1J+FaMBhU586dNXv27Bb3z549W4cffvge1et2u1udNdWa2bNn69JLL9VPfvIT9erVS1VVVVq5cuUejbevioqKVFlZqQULFqTvSyQS+vvf/77T5x1zzDH64osvtvu+H3TQQXK73ZKkOXPmaNKkSXrttdcUCATS+7dJzU0uNm3apIkTJ2rQoEE67LDDdjorb0/Nmzevxe2PPvpIBx98sBwOR6uvZe3atXI6ndu9lrKysvRxhxxyiH7zm99o2rRpOvvss1tt3gEAAHIDQRsAAMhpvXr10oUXXqhHH320xf0nn3yyNmzYoPvvv1/Lly/XlClT9Oabb2Zs3ClTpuhvf/ubvvzyS1199dXasmWLfv7zn0uSrr76am3evFnnn3++FixYoOXLl+vtt9/WZZddttthV8oNN9ygSZMm6YUXXtCyZct08803a/Hixbr22mv36Dw9evTQvHnztHLlSm3cuHGnM60OPvhgvfTSS1q8eLE++eQTXXDBBfs0M2tv/frXv9aECRP0yiuvaNmyZbr22mu1ZcuWFksvt3XTTTdpzpw5GjVqlBYvXqyvvvpKr7zySjpMq6+v10UXXaRrrrlGp512mp599lm98MIL+p//+R9JzbPe3G63HnvsMf3zn//Uq6++qrvvvjtjr2n16tUaPXq0li1bpueee06PPfbYDv8shwwZogEDBuiss87StGnTtHLlSs2ZM0e33nqrPv74Y4VCIY0aNUozZszQqlWrNHv2bC1YsCAd+AIAgNxD0AYAAHLeXXfdtV0Q1LNnTz3xxBOaMmWKevfurfnz57fakXNvTZw4URMnTlTv3r01a9Ysvfrqq+lZRqlZaIlEQkOHDlWvXr103XXXqbi4uMV+cLvjmmuu0ejRozVmzBj16tVLb731ll599VUdfPDBe3Se66+/Xg6HQ4cffnh6OeSOTJ48WSUlJTrhhBM0YsQIDRs2TMccc8wejZcJN910k84//3xdfPHFGjBgQHq/Na/Xu8PnHHXUUfrggw/0j3/8Q4MGDdLRRx+t22+/XZ07d5YkXXvttfL7/brvvvskNQe19913n6688kp99913Ki8v19SpU/Xiiy/q8MMP18SJE/Xggw9m7DVdfPHFCoVC6tevn66++mpde+21GjlyZKvH2mw2vfHGGxo8eLAuu+wyHXLIITrvvPO0atUqVVZWyuFwaNOmTbr44ot1yCGH6JxzztFpp52mO++8M2P1AgCAzLKZfd0oAwAAAMiAZDKpnj176pxzzsnoLLNsOfnkk9WnTx89/PDDVpcCAAAsQjMEAAAAWGLVqlWaNm2aTjrpJEUiET3++ONasWKFLrjgAqtLAwAA2CssHQUAAIAl7Ha7pk6dquOOO04DBw7Up59+qnfffZc9yAAAQN5i6SgAAAAAAACQAcxoAwAAAAAAADKAoA0AAAAAAADIAII2AAAAAAAAIAMI2gAAAAAAAIAMIGgDAAAAAAAAMoCgDQAAAAAAAMgAgjYAAAAAAAAgAwjaAAAAAAAAgAz4/wnAimITDfaoAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1500x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plot_learning_curve(dt, X_train, y_train, \"Decision Tree\")"
    ]
@@ -392,11 +747,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "r2: 0.9509356282111695\n"
+     ]
+    }
+   ],
    "source": [
     "y_pred = dt.predict(X_test)\n",
     "r2 = r2_score(y_test, y_pred)\n",
@@ -413,9 +776,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of nodes: 1847\n",
+      "Depth: 11\n"
+     ]
+    }
+   ],
    "source": [
     "print(\"Number of nodes:\", dt.tree_.node_count)\n",
     "print(\"Depth:\", dt.tree_.max_depth)"
@@ -431,14 +803,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from sklearn.tree import plot_tree\n",
     "\n",
     "plt.figure(figsize=(20,7))\n",
-    "plot_tree(dt, max_depth=2, filled=True)\n",
+    "plot_tree(dt, max_depth=2, filled=True, feature_names=list(X_train.columns))\n",
     "plt.show()"
    ]
   },
@@ -451,9 +834,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Feature 3: Horsepower\n",
+      "Feature 8: Age\n"
+     ]
+    }
+   ],
    "source": [
     "print(\"Feature 3:\", X_train.columns[3])\n",
     "print(\"Feature 8:\", X_train.columns[8])"
@@ -468,9 +860,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.12611786, 0.00388869, 0.00392175, 0.58854441, 0.08925584,\n",
+       "       0.00500304, 0.00474924, 0.01195664, 0.15050003, 0.0160625 ])"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dt.feature_importances_"
    ]
@@ -484,9 +888,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def plot_feature_importance(estimator, X, title, ax=None):\n",
     "    importances = estimator.feature_importances_\n",
@@ -527,14 +942,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {
     "solution2": "hidden",
     "solution2_first": true
    },
    "outputs": [],
    "source": [
-    "# rf = ..."
+    "rf = RandomForestRegressor(n_estimators=10, max_depth=30, min_samples_split=2, random_state=42)\n",
+    "model = rf.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cross validation r2-score: 0.9216195966381827\n",
+      "training r2-score 0.9849582948459499\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_learning_curve(model, X_train, y_train, \"Random Forest\")"
    ]
   },
   {
@@ -546,7 +990,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -554,8 +998,23 @@
     "solution2": "hidden",
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(n_estimators=10)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_estimators=10)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "RandomForestRegressor(n_estimators=10)"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
+    "\n",
     "rf = RandomForestRegressor(n_estimators=10)\n",
     "rf.fit(X_train, y_train)"
    ]
@@ -569,9 +1028,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cross validation r2-score: 0.9220490914795647\n",
+      "training r2-score 0.9855268564080356\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plot_learning_curve(rf, X_train, y_train, \"Random Forest\")"
    ]
@@ -592,9 +1070,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best score 0.9065127694377649\n",
+      "Best params {'max_depth': 20, 'min_samples_split': 6, 'n_estimators': 10}\n"
+     ]
+    }
+   ],
    "source": [
     "parameters = {\n",
     "    \"n_estimators\": [10],\n",
@@ -603,6 +1090,9 @@
     "}\n",
     "\n",
     "gridSearch = GridSearchCV(rf, parameters, cv=5, scoring=\"r2\", n_jobs=-1)\n",
+    "\"\"\"\n",
+    "DER RANDOM FOREST WIRD AUF DEM TEST SET GEFITTET UND DAMIT TRAINIERT!!\n",
+    "\"\"\"\n",
     "gridSearch.fit(X_test, y_test)\n",
     "\n",
     "print(\"Best score\", gridSearch.best_score_)\n",
@@ -618,12 +1108,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "r2: 0.9257331679102174\n",
+      "r2: 0.9721936896951471\n"
+     ]
+    }
+   ],
    "source": [
+    "y_pred = rf.predict(X_test)\n",
+    "r2 = r2_score(y_test, y_pred)\n",
+    "print(\"r2:\", r2)\n",
+    "\n",
+    "\"\"\"\n",
+    "BEST ESTIMATOR MUSS IN DAS ESTIMATOR OBJEKT ZURÃœCKGESCHRIEBEN WERDEN NACH DER GRIDSEARCH.\n",
+    "ANSONSTEN ARBEITET MAN NICHT MIT DEN OPTIMALEN PARAMETERN.\n",
+    "ALTERNATIV: GridSearchCV(refit=True)\n",
+    "\"\"\"\n",
+    "rf = gridSearch.best_estimator_\n",
     "y_pred = rf.predict(X_test)\n",
     "r2 = r2_score(y_test, y_pred)\n",
     "print(\"r2:\", r2)"
@@ -638,9 +1147,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 50,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plot_feature_importance(rf, X_train, \"Feature importances extracted from the Random Forest model\")"
    ]
@@ -669,7 +1189,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/07A Tree Models/gini_impurity.ipynb b/notebooks/07A Tree Models/gini_impurity.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391