Making Predictions on New Data

Author: Lastrophysicien

4_data_analysis/MLProject.ipynb

@@ -969,47 +969,26 @@
     "plt.show()\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e258546",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
-   "id": "b042449d",
+   "id": "355e2e68",
    "metadata": {},
    "source": [
-    "# Step 8.1: Analyze feature importance\n",
-    "print(\"=== FEATURE IMPORTANCE ANALYSIS ===\")\n",
-    "\n",
-    "# Create a DataFrame with feature names and coefficients\n",
-    "feature_importance = pd.DataFrame({\n",
-    "    'Feature': X.columns,\n",
-    "    'Coefficient': model.coef_\n",
-    "})\n",
-    "\n",
-    "# Sort by absolute value of coefficients\n",
-    "feature_importance['Abs_Coefficient'] = np.abs(feature_importance['Coefficient'])\n",
-    "feature_importance = feature_importance.sort_values('Abs_Coefficient', ascending=False)\n",
-    "\n",
-    "print(\"\\nFeature Importance (sorted by absolute coefficient value):\")\n",
-    "print(feature_importance[['Feature', 'Coefficient']])\n",
-    "\n",
-    "# Visualize feature importance\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "bars = plt.barh(feature_importance['Feature'], feature_importance['Abs_Coefficient'])\n",
-    "plt.xlabel('Absolute Coefficient Value')\n",
-    "plt.title('Feature Importance in Linear Regression Model')\n",
-    "plt.gca().invert_yaxis()  # Highest importance at top\n",
-    "plt.grid(True, alpha=0.3, axis='x')\n",
-    "\n",
-    "# Add coefficient values on bars\n",
-    "for bar, coeff in zip(bars, feature_importance['Coefficient']):\n",
-    "    plt.text(bar.get_width() * 1.01, bar.get_y() + bar.get_height()/2,\n",
-    "             f'{coeff:.2f}', va='center')\n",
-    "\n",
-    "plt.show()"
+    "9. Making Predictions on New Data\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "id": "ae4cd4fd",
+   "execution_count": 29,
+   "id": "59e0c6ab",
    "metadata": {},
    "outputs": [
     {
@@ -1018,18 +997,10 @@
      "text": [
       "=== MAKING PREDICTIONS ===\n",
       "\n",
-      "=== EXAMPLE PREDICTIONS ===\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Unknown format code 'f' for object of type 'str'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[25], line 57\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;66;03m# Example 1\u001b[39;00m\n\u001b[1;32m     56\u001b[0m pred1 \u001b[38;5;241m=\u001b[39m predict_tourist_numbers(\u001b[38;5;241m2025\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBahamas\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtourists\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 57\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPredicted tourists for Bahamas in 2025: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpred1\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.0f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m thousand trips\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     59\u001b[0m \u001b[38;5;66;03m# Example 2\u001b[39;00m\n\u001b[1;32m     60\u001b[0m pred2 \u001b[38;5;241m=\u001b[39m predict_tourist_numbers(\u001b[38;5;241m2023\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDominican Republic\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvisitors_total\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[0;31mValueError\u001b[0m: Unknown format code 'f' for object of type 'str'"
+      "=== EXAMPLE PREDICTIONS ===\n",
+      "Predicted tourists for Bahamas in 2025: 1503 thousand trips\n",
+      "Predicted total visitors for Dominican Republic in 2023: 1730 thousand trips\n",
+      "Predicted excursionists for Jamaica in 2026: 1129 thousand trips\n"
      ]
     }
    ],
@@ -1106,7 +1077,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1e258546",
+   "id": "e46cbf49",
    "metadata": {},
    "outputs": [],
    "source": []