susensio / hitchhikers-guide-machine-learning

The Hitchhiker’s Guide to Machine Learning in Python

Featuring implementation code, instructional videos, and more. Article from freeCodeCamp Original repository on Github

Algorithms

1. Linear Regression
2. Logistic Regression
3. Decision Trees
4. Support Vector Machines
5. K-Nearest Neighbors
6. Random Forests
7. K-Means Clustering
8. Principal Components Analysis

Prerequisites

Python 3.5.2 or higher Libraries:

• pandas
• matplotlib
• numpy
• seaborn

Sample data from: Diabetes and Iris datasets within the UCI Machine Learning Repository.

Credits

All credits to Conor Dewey - conordewey3