Dimensionality Reduction with Feature Selection

In this course, you'll learn specialized techniques for feature selection and extraction to improve machine learning models. Through practical applications on a synthetic dataset, you'll discover how to identify and remove low-variance features, use correlation with the target variable, and apply advanced selection methods to refine your datasets for optimal efficiency and effectiveness.

Lessons and practices

Lesson 1: Mastering Variance-Based Feature Selection with VarianceThreshold in Python

Unveiling High Variance Features in Synthetic Data

Adjusting the Variance Threshold

Setting the Variance Threshold

Cosmic Code Crafting: Feature Selection with Variance Threshold

Lesson 2: Unveiling the Power of Univariate Feature Selection with SelectKBest in Python

Unveiling the Most Informative Features with Chi-Square Test

Expanding Our Feature Universe

Uncovering the Stars: Selecting Features with Chi-Square

Implementing SelectKBest for Feature Selection

Lesson 3: Mastering Feature Selection with Mutual Information in Python