A series of text and video lessons that will teach you about different machine learning algorithms and how they can be used in the widely popular Python library scikit-learn. This is a hands-on approach so you are encouraged to follow along with the code. The topics that are touched in these videos include:

- K-Nearest-Neighbors (KNN) classifier
- Logistic Regression
- Decision Trees
- Random Forests
- Suppor Vector Machines
- Neural Networks
- etc.

More lessons are being added so this is an ongoing project.