Implement Logistic Regression and XGBoost pipelines #22
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This script implements a machine learning pipeline using Logistic Regression and XGBoost to classify violations based on the provided dataset. It includes model training, hyperparameter tuning with RandomizedSearchCV, evaluation metrics, and saving the trained models.
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This script implements a machine learning pipeline using Logistic Regression and XGBoost to classify violations based on the provided dataset. It includes model training, hyperparameter tuning with RandomizedSearchCV, evaluation metrics, and saving the trained models.