Updated Diabetes_Prediction.ipynb and README.md

Diabetes_Prediction/Diabetes_Prediction.ipynb

@@ -45,8 +45,7 @@
         "from sklearn.svm import SVC\n",
         "from sklearn.tree import DecisionTreeClassifier\n",
         "from sklearn.ensemble import RandomForestClassifier\n",
-        "from sklearn.ensemble import GradientBoostingClassifier\n",
-        "\n"
+        "from sklearn.ensemble import GradientBoostingClassifier"
       ]
     },
     {
@@ -65,9 +64,29 @@
       "metadata": {
         "id": "oEUnWDaR71dL"
       },
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "File 'downloaded_file.csv' has been downloaded.\n"
+          ]
+        }
+      ],
       "source": [
-        "url='https://github.com/sachinkhote/Public_Dataset/raw/main/Diabetes%20Prediction.csv'"
+        "import requests\n",
+        "url='https://github.com/sachinkhote/Public_Dataset/raw/main/Diabetes%20Prediction.csv'\n",
+        "filename = 'downloaded_file.csv'\n",
+        "\n",
+        "response = requests.get(url)\n",
+        "\n",
+        "# Check if the request was successful\n",
+        "if response.status_code == 200:\n",
+        "    with open(filename, 'wb') as file:\n",
+        "        file.write(response.content)\n",
+        "    print(f\"File '{filename}' has been downloaded.\")\n",
+        "else:\n",
+        "    print(f\"Failed to download the file. Status code: {response.status_code}\")\n"
       ]
     },
     {
@@ -78,7 +97,7 @@
       },
       "outputs": [],
       "source": [
-        "db = pd.read_csv(url)"
+        "db = pd.read_csv(filename)"
       ]
     },
     {
@@ -2150,9 +2169,9 @@
             "The Test Accuracy of Logistic Regression:-\t76.62337662337663 %\n",
             "The Test Accuracy of KNeighbors Classifier:-\t76.62337662337663 %\n",
             "The Test Accuracy of SVC:-\t73.37662337662337 %\n",
-            "The Test Accuracy of Decision Tree Classifier:-\t69.48051948051948 %\n",
-            "The Test Accuracy of Random Forest Classifier:-\t77.27272727272727 %\n",
-            "The Test Accuracy of Gradient Boosting Classifier:-\t76.62337662337663 %\n"
+            "The Test Accuracy of Decision Tree Classifier:-\t72.07792207792207 %\n",
+            "The Test Accuracy of Random Forest Classifier:-\t79.22077922077922 %\n",
+            "The Test Accuracy of Gradient Boosting Classifier:-\t75.97402597402598 %\n"
           ]
         }
       ],

Diabetes_Prediction/README.md

@@ -3,7 +3,7 @@
 - **Author:** [Sachin Khote](https://github.com/sachinkhote)
 - **Example:** Diabetes Prediction
 - **Data Created:** 14/10/2023
-- **Last Modified:** 15/10/2023
+- **Last Modified:** 28/10/2023
 
 # Diabetes Prediction Dataset
 
@@ -13,7 +13,7 @@ This dataset is designed for predicting diabetes based on various health paramet
 
 ## Dataset Information
 
-- **Source**: [Diabetes Prediction Dataset](https://github.com/sachinkhote/Public_Dataset/raw/main/Diabetes%20Prediction.csv)
+- **Source**: [Diabetes Prediction Dataset](https://github.com/sachinkhote/Public_Dataset/blob/main/Diabetes%20Prediction.csv)
 - **Format**: CSV
 - **Columns**:
   1. **Pregnancies**: Number of times pregnant
@@ -64,3 +64,4 @@ For general inquiries, you can contact us at:
 
 - **Email:** [Sachin khote](sachinkhote451@gmail.com)
 - **Linkedin:** [profile](https://www.linkedin.com/in/sachin-khote-195570277/)
+