This project develops a machine learning model to predict customer churn for a California-based telecom company using data from 7043 customers. Our goal is to enhance customer retention strategies through detailed data analysis and feature engineering.
machinelearning
churn-prediction
datavisualization
churn-analysis
featureengineering
churnprediction
customerretention
telecomanalytics
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Updated
May 9, 2024 - Jupyter Notebook