Introduction to Machine Learning

From 2015, a series of Jupyter Notebooks and accompanying slideshow and video

Link to accompanying reveal.js slideshow

Link to PDF version of slideshow

Link to video presentation I'm so sorry, my google account was hacked and although I was able to get my gmail and OAuth back, all my youtube videos including this one with > 100,000 views, were permanently erased.

Jupyter notebooks:

1. The Dataset
2. Clustering with K-means
3. Clustering with other algorithms
4. Classification with k-Nearest Neighbors
5. Classification with other algorithms
6. Classification with Decision Trees
7. Classification with Random Forests
8. Dimensionality reduction