Lead_scoring_model
In this project, I leverage machine learning models including Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost, and LightGBM to predict customer lead scoring. I apply WOE and SHAP for feature selection and use Optuna for hyperparameter turning, aiming to identify potential lead customers effectively.
Lead_scoring_model 최신버젼 다운로드
최종 버전 다운로드 (.zip)// repository documentation
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