Machine Learning Cheat Sheet — Supervised Learning

Supervised Learning Models

Linear Regression

Y=WX + b
W: weights
X: features

Works best when the data is linear. If the data is not linear, then we may need to transform the data, add features, or use another model.

Sensitive to outliers. Outliers contribute too much to the errors, so will impact the model. We may need to determine the outliers and remove them if necessary.