# 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