diff --git a/2-Regression/4-Logistic/notebook.ipynb b/2-Regression/4-Logistic/notebook.ipynb
index 7c212763..da7196df 100644
--- a/2-Regression/4-Logistic/notebook.ipynb
+++ b/2-Regression/4-Logistic/notebook.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -211,7 +211,7 @@
        "[5 rows x 26 columns]"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -224,6 +224,339 @@
     "\n",
     "full_pumpkins.head()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "columns_to_select = ['City Name','Package','Variety', 'Origin','Item Size', 'Color']\n",
+    "pumpkins = full_pumpkins.loc[:, columns_to_select]\n",
+    "\n",
+    "pumpkins.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method DataFrame.info of       City Name       Package            Variety    Origin Item Size   Color\n",
+       "2     BALTIMORE  24 inch bins        HOWDEN TYPE  DELAWARE       med  ORANGE\n",
+       "3     BALTIMORE  24 inch bins        HOWDEN TYPE  VIRGINIA       med  ORANGE\n",
+       "4     BALTIMORE  24 inch bins        HOWDEN TYPE  MARYLAND       lge  ORANGE\n",
+       "5     BALTIMORE  24 inch bins        HOWDEN TYPE  MARYLAND       lge  ORANGE\n",
+       "6     BALTIMORE  36 inch bins        HOWDEN TYPE  MARYLAND       med  ORANGE\n",
+       "...         ...           ...                ...       ...       ...     ...\n",
+       "1694  ST. LOUIS  24 inch bins  HOWDEN WHITE TYPE  ILLINOIS      xlge   WHITE\n",
+       "1695  ST. LOUIS  24 inch bins  HOWDEN WHITE TYPE  ILLINOIS      xlge   WHITE\n",
+       "1696  ST. LOUIS  24 inch bins  HOWDEN WHITE TYPE  ILLINOIS      xlge   WHITE\n",
+       "1697  ST. LOUIS  24 inch bins  HOWDEN WHITE TYPE  ILLINOIS      xlge   WHITE\n",
+       "1698  ST. LOUIS  24 inch bins  HOWDEN WHITE TYPE  ILLINOIS      xlge   WHITE\n",
+       "\n",
+       "[991 rows x 6 columns]>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pumpkins.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x14a0c9d30>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 609.375x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "palette = {\n",
+    "'ORANGE': 'orange',\n",
+    "'WHITE': 'wheat',\n",
+    "}\n",
+    "\n",
+    "sns.catplot(\n",
+    "data=pumpkins, y=\"Variety\", hue=\"Color\", kind=\"count\",\n",
+    "palette=palette, \n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import OrdinalEncoder\n",
+    "\n",
+    "item_size_categories = [['sml', 'med', 'med-lge', 'lge', 'xlge', 'jbo', 'exjbo']]\n",
+    "ordinal_features = ['Item Size']\n",
+    "ordinal_encoder = OrdinalEncoder(categories=item_size_categories)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import OneHotEncoder\n",
+    "\n",
+    "categorical_features = ['City Name', 'Package', 'Variety', 'Origin']\n",
+    "categorical_encoder = OneHotEncoder(sparse_output=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.compose import ColumnTransformer\n",
+    "\n",
+    "ct = ColumnTransformer(transformers=[\n",
+    "    ('ord', ordinal_encoder, ordinal_features),\n",
+    "    ('cat', categorical_encoder, categorical_features)\n",
+    "    ])\n",
+    "\n",
+    "ct.set_output(transform='pandas')\n",
+    "encoded_features = ct.fit_transform(pumpkins)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "\n",
+    "label_encoder = LabelEncoder()\n",
+    "encoded_label = label_encoder.fit_transform(pumpkins['Color'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "encoded_pumpkins = encoded_features.assign(Color=encoded_label)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/3m/kq3blxtj7gj8n_v2dv5lns700000gp/T/ipykernel_13985/3754974362.py:7: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  g = sns.catplot(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x157a6b320>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x1620 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "palette = {\n",
+    "'ORANGE': 'orange',\n",
+    "'WHITE': 'wheat',\n",
+    "}\n",
+    "pumpkins['Item Size'] = encoded_pumpkins['ord__Item Size']\n",
+    "\n",
+    "g = sns.catplot(\n",
+    "    data=pumpkins,\n",
+    "    x=\"Item Size\", y=\"Color\", row='Variety',\n",
+    "    kind=\"box\", orient=\"h\",\n",
+    "    sharex=False, margin_titles=True,\n",
+    "    height=1.8, aspect=4, palette=palette,\n",
+    ")\n",
+    "g.set(xlabel=\"Item Size\", ylabel=\"\").set(xlim=(0,6))\n",
+    "g.set_titles(row_template=\"{row_name}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "X = encoded_pumpkins[encoded_pumpkins.columns.difference(['Color'])]\n",
+    "y = encoded_pumpkins['Color']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.94      0.98      0.96       166\n",
+      "           1       0.85      0.67      0.75        33\n",
+      "\n",
+      "    accuracy                           0.92       199\n",
+      "   macro avg       0.89      0.82      0.85       199\n",
+      "weighted avg       0.92      0.92      0.92       199\n",
+      "\n",
+      "Predicted labels:  [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
+      " 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
+      " 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0\n",
+      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0\n",
+      " 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\n",
+      " 0 0 0 1 0 0 0 0 0 0 0 0 1 1]\n",
+      "F1-score:  0.7457627118644068\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import f1_score, classification_report \n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "\n",
+    "model = LogisticRegression()\n",
+    "model.fit(X_train, y_train)\n",
+    "predictions = model.predict(X_test)\n",
+    "\n",
+    "print(classification_report(y_test, predictions))\n",
+    "print('Predicted labels: ', predictions)\n",
+    "print('F1-score: ', f1_score(y_test, predictions))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[162,   4],\n",
+       "       [ 11,  22]])"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import confusion_matrix\n",
+    "confusion_matrix(y_test, predictions)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import roc_curve, roc_auc_score\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "y_scores = model.predict_proba(X_test)\n",
+    "fpr, tpr, thresholds = roc_curve(y_test, y_scores[:,1])\n",
+    "\n",
+    "fig = plt.figure(figsize=(6, 6))\n",
+    "plt.plot([0, 1], [0, 1], 'k--')\n",
+    "plt.plot(fpr, tpr)\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC Curve')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.9749908725812341\n"
+     ]
+    }
+   ],
+   "source": [
+    "auc = roc_auc_score(y_test,y_scores[:,1])\n",
+    "print(auc)"
+   ]
   }
  ],
  "metadata": {
@@ -242,7 +575,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.12.0"
   },
   "metadata": {
    "interpreter": {