Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
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Updated
Jan 19, 2021 - Python
Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
A model to predict customer churn using Spark
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This repository contains the Customer churn prediction and it is been deployed in the front end with streamlit.
Churn prediction using Random Forest and Decision Tree Classifiers.
Telco Customer Churn Analysis using Python
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I analyzed a dataset of telco customers' activity and how it relates to churn. This repository is designed for data cleaning and exploratory data analysis (EDA), which will be expanded into feature engineering and modelling.
For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.
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A Telecom company is losing Customers to its competitors. With the historical customer churn information that they have, they want a ML Model to predict, which of their present customers may churn.
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