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1. neural_network_stacked_generalization_xgboost_glm neural_network_stacked_generalization_xgboost_glm Public

   I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understa…

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2. passenger_satisfaction_stacking_anova passenger_satisfaction_stacking_anova Public

   The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline comp…

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3. churn-hotel-xgboost-alibi churn-hotel-xgboost-alibi Public

   An XGBoost model in Python that classifies if a customer will cancel his/her hotel booking or not. I also use counterfactuals guided by prototypes from the Alibi package to explore the minimum chan…

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4. feature_selection_functions feature_selection_functions Public

   Feature selection is widely used in nearly all data science pipelines. Hence I have created functions that do a form of backward stepwise selection based on the XGBoost classifier feature importanc…

   Jupyter Notebook