This project is on predicting diabeties in patients. model is trained on dataset " https://www.kaggle.com/uciml/pima-indians-diabetes-database ".
Also main objective is to learn different regularization techniques to handle overfitting problem and their impact on prediction. so i run the same model for 4 different regularization techniques:
1) L1 regularization
2) L2 regularization
3) Early stopping
4) Droupout
