Predict the Churn rate of a bank.
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Updated
Jun 22, 2022 - Jupyter Notebook
Predict the Churn rate of a bank.
The project aims to find deep insights into bank customer data and develop the best-performing churn prediction model.
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.
Projects for Neural Networks course, Shahid Beheshti University, Fall 2020
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.
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
The Bank Customer Churn model addresses the critical issue of predicting customer attrition within a banking context. Customer churn, or attrition, occurs when customers cease their relationship with a bank, which can lead to significant revenue loss and reduced market share...
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