Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Google colab notebook for the Kaggle Home prices submission

Here I am presenting machine learning notebooks, which were used during various analysis, e.g. kaggle competitions: "Titanic - Machine Learning from Disaster", Spaceship Titanic", "House Prices - Advanced Regression Techniques" and "Digit Recognizer") and other assays.

This notebook highlights how CatBoost can handle categorical features automatically and capture complex patterns, resulting in better performance with less preprocessing. The goal is to demonstrate the advantages of using modern boosting algorithms over traditional linear models for regression tasks.