Telco Customer Churn Prediction — ML Pipeline + Flask API réalisé par un freelance en Tunisie | Tunisie Freelance
Telco Customer Churn Prediction — ML Pipeline + Flask API
data-science
End-to-end ML pipeline predicting customer churn on 7,000+ real telecom records. Covered full workflow: EDA, preprocessing, feature engineering, model training (Logistic Regression, Random Forest, XGBoost) with GridSearchCV tuning. Achieved AUC 0.84 with SHAP explainability for business-readable insights. Deployed as a production REST API using Flask. Tech: Python, scikit-learn, Flask, SHAP
Machine LearningData AnalysisPython
Pièces jointes
R
AI & ML Developer | LLMs · Machine Learning · Data Science
