All of my exercise notebook for the Kaggle Machine-Learning-related Courses:
- Intro to Machine Learning (6 notebooks in respective folder)
- Intro to Deep Learning (6 notebooks in respective folder)
- Intermediate Machine Learning (7 notebooks in respective folder)
- Data Cleaning (5 notebooks in respective folder)
- Time Series (6 notebooks in respective folder)
- Feature Engineering (6 notebooks in respective folder)
- Computer Vision (6 notebooks in respective folder)
- Machine Learning Explainability (5 notebooks in respective folder)
- Intro to Game AI and Reinforcement Learning (4 notebooks in respective folder)
(every commit to the repository is either an addition of a single notebook, organization of a "batch" of notebooks, or a minor change to the documentation)