Machine Learning
179 learners
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.
MatPlotLib
Numpy
Pandas
Scikit-learn
5 lessons
19 practices
4 hours
Badge for Feature Engineering,
Feature Engineering
Course details
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
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