Churn Analytics in E-commerce
A Python project to predict Churn Rate in E-commerce through EDA, Data Processing, ML Prediction, and Recommendations.
A Python project to predict Churn Rate in E-commerce through EDA, Data Processing, ML Prediction, and Recommendations.
Using the RFM (Recency, Frequency, Monetary) Analysis technique to segment customers
The process of data analysis using SQL and PowerBI to find the healthy employees for the bonus and highlight insights from the data.