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.
Bank Customer Chun Rate
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.
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
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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