Machine Learning
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.
ggplot2
R
5 lessons
18 practices
4 hours
Feature Engineering
Course details
Variance Based Feature Selection
Identifying High-Variance Features for Machine Learning Models
Adjusting Variance Threshold for Feature Selection
Feature Selection with Variance Threshold
Dimensionality Reduction with VarianceThreshold
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