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1. random-forest-importances random-forest-importances Public

   Forked from parrt/random-forest-importances

   Code to compute permutation and drop-column importances in Python scikit-learn models

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2. Shap_XGBoost Shap_XGBoost Public

   Forked from sp3Shree/Shap_XGBoost

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3. Boosting-Ensemble-Learning Boosting-Ensemble-Learning Public

   Forked from ArundhathiH/Boosting-Ensemble-Learning

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4. BorutaFeatureSelectionWithShapAnalysis BorutaFeatureSelectionWithShapAnalysis Public

   Forked from AmirAli-N/BorutaFeatureSelectionWithShapAnalysis

   Feature selection with Boruta and xgBoost plus feature importance analysis with Shap Explainer (Shapley values)

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5. Thera-Bank-Credit-Card-User-Churn-Analysis-Hyperparmeter-Tuning Thera-Bank-Credit-Card-User-Churn-Analysis-Hyperparmeter-Tuning Public

   Forked from kahunahana/Thera-Bank-Credit-Card-User-Churn-Analysis-Hyperparmeter-Tuning

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6. Classification Classification Public

   Forked from f3bolarinwa/Classification

   Machine Learning, Supervised Learning, Ensemble Methods, XGBoost, KNN, LDA, QDA, Bagging, Logistic Regression, Feature Importance, Hyper-parameter tuning, GridSearchCV

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