Customer-Churn-Prediction-with-Scikit-learn
PublicAn end-to-end machine learning pipeline for predicting customer churn using a Kaggle telecom dataset. This project includes data loading, cleaning, preprocessing, feature encoding, and model training with hyperparameter tuning using RandomizedSearchCV. Evaluation is performed using classification metrics and AUC score.
auc-roc-scorechurn-predictiondata-cleaning-and-preprocessingkaggle-datasetmachine-learningmlflowmodel-trainingpythonrandomizedsearchcvskit-learn
Creat：2025-08-02T19:36:29
Update：2025-08-19T17:34:27
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