The primary objective of this project was to develop a predictive model capable of accurately determining whether a bank customer will maintain or close their account. Kaggle Playground Series S4E1

Predicting whether or not a bank customer will churn (close their account) by using an XGBoost classifier

Predict customer churn with ease using this machine learning-based system. Input customer data, get predictions, and gain valuable insights.

This project involves the development of a machine learning model to predict customer churn for a banking institution. By utilizing historical customer data, the model aims to identify at-risk customers, enabling the bank to take proactive measures to retain them and improve customer loyalty.

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EDA and comparisons of various on Bank customer data using pycaret

Preprocessing a bank's customer Data and using an Artificial Neural Network to predict the customer churn rate.