Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...
Abstract: The rapid adoption of Electric Vehicles (EVs) necessitates advanced solutions for flexible charging (FC) systems to meet diverse user needs and optimize grid efficiency. This study ...
End-to-end Retail Sales Prediction project using Python, Machine Learning (Linear Regression, Random Forest, XGBoost) and Power BI dashboards for business performance analytics. - AfnanAslam36/reta ...
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