> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/mini-courses/python/machine-learning-with-python/about-machine-learning.md).

# About Machine Learning

### Supervised Learning

Decision Trees

Naïve Bayes Classification

Ordinary Least Squares Regression

Logistic regression

K nearest neighbor

Support Vector Machines

Neural network (supervised, unsupervised, semi-supervised)

### Unsupervised Learning

Clustering Algorithms

Principal Component Analysis (linear)

T-SNE (nonlinear)

Independent Component Analysis