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+# Diabetes Prediction Using Machine Learning
+
+## Objective
+
+### Techniques Used
+
+- Data Cleaning
+- Data Visualization
+- Machine Learning Modeling
+
+### Algortihms Used
+
+1. Logistic Regression
+2. Support Vector Machine
+3. KNN
+4. Random Forest Classifier 
+5. Naivye Bayes
+6. Gradient Boosting
+
+### Model Evaluation Methods Used
+
+1. Accuracy Score
+2. ROC AUC Curve
+3. Cross Validation
+4. Confusion Matrix
+
+## Guide Lines 
+
+### Packages and Tools Required:
+```
+Pandas 
+Matplotlib
+Seaborn
+Scikit Learn
+Jupyter Notebook
+```
+### Package Installation
+```
+pip install numpy
+pip install pandas
+pip install seaborn
+pip install scikit-learn
+pip install matplotlib
+```
+Jupyter Notebook Installation Guide  https://jupyter.org/install