Predict the Churn rate of a bank.
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Updated
Jun 22, 2022 - Jupyter Notebook
Predict the Churn rate of a bank.
Projects for Neural Networks course, Shahid Beheshti University, Fall 2020
Detailed solution to the Ban_customer_churn_dataset from kaggle with data visualization by using Random Forest Algorithm.
This repo contains deep learning projects for beginners.
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
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.
Bank Customer Chun Rate
Predictive Analysis of Customer Churn in Banking Industry Using Python
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
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