Diabetes Prediction Model

This is an ML model which uses 6 different algorithms and 4 different evaluation methods to predict whether or not the user is having diabetes.

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

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