Data Science - Cheatsheet : Very Helpful

A very helpful 5-pages Data Science Cheatsheet - to assist with quick recalling, exam reviews, interview preparation, and anything in-between.

It covers introductory machine learning, and is based on MIT's Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra, though beginners may find this resource helpful as well.

Topics included:

• Linear and Logistic Regression

• Decision Trees and Random Forest

• SVM

• K-Nearest Neighbors

• Clustering

• Boosting

• Dimension Reduction (PCA, LDA, Factor Analysis)

• Natural Language Processing

• Neural Networks

• Recommender Systems

• Reinforcement Learning