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    1. neural_network_stacked_generalization_xgboost_glmneural_network_stacked_generalization_xgboost_glmPublic

      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…

      Jupyter Notebook

    2. passenger_satisfaction_stacking_anovapassenger_satisfaction_stacking_anovaPublic

      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…

      Jupyter Notebook

    3. churn-hotel-xgboost-alibichurn-hotel-xgboost-alibiPublic

      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…

      Jupyter Notebook

    4. feature_selection_functionsfeature_selection_functionsPublic

      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