Deep Learning Model to predict Churn Rate at bank

It is a notebook about deep learning model which predicts the rate at a bank (whether a person has exited a company or not). One hot encoding, MinMax Scaler , seaborn matrix,undersampling etc is used in the notebook. Various techniques to know unique values of data , new ways of exploring the data & plotting the evaluation matrix is also used in this notebook