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End‑to‑end data pipeline for the messy FIFA 21 player dataset: full ETL, feature engineering, normalized SQLite database, analytics queries, machine learning models, visualizations, and a consolidated PDF report.
This project is for classify the churnability of the customer for a Bank. The model takes into account the important factors such as Credit Score, Geography, Gender, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember and EstimatedSalary