"Exploratory.ipynb": graphical notebook to explore the main features of the dataset;
"Train.ipynb": main notebook, in which all the feature engineering, model tuning, and prediction is included;
"utils.py": a file including the utilities functions developed for the task;
"xgb_lgb.csv": the solution produced in the kaggle format.
Variable Importance Plots
They have been produced in html via Plotly, please clone the repository and open the html files to see them. They unfortunately cannot be displayed in the notebook on github