Feature Engineering
Images from Unsplash Disclaimer: This article is my learning note from the courses I took from Kaggle. In this course, we will learn on how to: determine which features are the most important with mutual information invent new features in several real-world problem domains encode high-cardinality categoricals with a target encoding create segmentation features with k-means clustering decompose a dataset’s variation into features with principal component analysis 1. Introduction The reason we perform feature engineering is we want to make our data more suited to the problem at hand....