Introduction to Machine Learning

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):

1. Nearest Neighbors
2. Union of intervals (and the ERM algorithm)
3. Perceptron
4. SVM
5. • Not Uploaded
6. PCA

Some Results

Ariels Sharon's images casted into the PCA linear sub-space:

The Eagenvectors (Principle Components):