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