Predicting-Churn-for-Bank-Customers

Introduction:

This project aims at developing supervised learning algorithm for predicting customer churn.

Data Source:

https://www.kaggle.com/datasets/adammaus/predicting-churn-for-bank-customers

Contents

1. Data Exploration

2. Feature Engineering

   2.1 Split the Data

   2.2 Transform Features

   2.3 Oversampling (SMOTE)

3. Modeling and Evaluation

   3.1 Training Model

   3.2 Tunning Hyperparameters

   3.3 Evaluation

4. Feature Importance Analysis