- A descriptive and predictive analysis on customer retention in a telecommunication company.
- Cleaned and visualized the data to extract hidden insights about customer behaviour using Power BI.
- Trained several Machine learning classification algorithms and compared the prediction accuracy
- Predicted customer churn with a prediction accuracy of 86.21% using the random forest model
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