Model Development

Building and training ML models effectively.

Model Selection

from sklearn.model_selection import cross_val_score

models = {
    "logistic": LogisticRegression(),
    "random_forest": RandomForestClassifier(),
    "xgboost": XGBClassifier(),
    "lightgbm": LGBMClassifier(),
    "catboost": CatBoostClassifier(verbose=False)
}