Notebooks with homework in Y-Data course.
Credit: Omri Aallouche, Inbar Huberman-Spiegelglas and Anna Lapidus.
Some of the work that might be interesting:
- Decision Trees - Exercise.ipynb - Decision Trees algorythm from scratch
- Ensemble_Learning_Exercise.ipynb - Random forest algorythm, based on sklearn DecisionTreeRegressor
- NB_exercise.ipynb - classification on MNIST dataset
Files that started with "H_W_" are homeworks of Deep Learning course.
Homeworks were done in pairs, so my special thanks to my study partners: @AndreyKap, @Ranyrotem, @neumanh