This repository is my solution to the homeworks given in the TAU 0368-3235-06 - Introduction to Machine Learning course.
The homework included in the repo (leaving aside the theoretical part):
- Nearest Neighbors
- Union of intervals (and the ERM algorithm)
- Perceptron
- SVM
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- Not Uploaded
- PCA
Ariels Sharon's images casted into the PCA linear sub-space:
The Eagenvectors (Principle Components):
