GitHub / shyamal-bhatt / Customer-Churn-Prediction-Retention-Strategy-Using-SQL-Power-BI-Machine-Learning

End-to-end customer churn prediction pipeline using SQL, ML, and Power BI. Trained and tracked multiple models with MLflow, selected LightGBM with 0.90 F1 score on balanced data, and integrated predictions into a Power BI dashboard for actionable insights.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shyamal-bhatt%2FCustomer-Churn-Prediction-Retention-Strategy-Using-SQL-Power-BI-Machine-Learning
PURL: pkg:github/shyamal-bhatt/Customer-Churn-Prediction-Retention-Strategy-Using-SQL-Power-BI-Machine-Learning

Topics: churn-analysis, churn-prediction, dax, dvc, machine-learning, mlflow, mlops-project, powerbi, sql

• Files
• Readme
• Dependencies