Unsupervised Machine Learning Cheatsheet

Unsupervised learning hands the algorithm raw data with no labels and asks it to find structure: clusters, a faithful low-dimensional picture, or topics in text. This cheatsheet gathers the whole toolkit on one page, from k-means and the elbow through PCA, t-SNE, TruncatedSVD, and NMF, each snippet annotated line by line. Keep it open while you explore, or save the image and pin it nearby.

For the full background, read the guide to unsupervised machine learning. To practise, work through the 10 code-along examples.

Download the cheatsheet

See you soon, Andrei.