Preprocessing a bank's customer Data and using an Artificial Neural Network to predict the customer churn rate.
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Updated
May 31, 2021 - Python
Preprocessing a bank's customer Data and using an Artificial Neural Network to predict the customer churn rate.
EDA and comparisons of various on Bank customer data using pycaret
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
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.
my portfolio website content holder.
Predict customer churn with ease using this machine learning-based system. Input customer data, get predictions, and gain valuable insights.
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