Feature Selection for Machine Learning

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

4.69 (2294 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Learn about filter, embedded and wrapper methods for feature selection

Find out about hybdrid methods for feature selection

Select features with Lasso and decision trees

Implement different methods of feature selection with Python

Learn why less (features) is more

Reduce the feature space in a dataset

Build simpler, faster and more reliable machine learning models

Analyse and understand the selected features

Discover feature selection techniques used in data science competitions

Course Gallery

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Students

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Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

This course offers in-depth knowledge on feature selection methods, with a strong focus on practical implementations. While the content is advanced, beginners will also find value through clear explanations and comprehensive Jupyter notebooks. Although some users have requested additional topics like Shap values and deep learning, there is no denying that this course has earned its high rating from thousands of satisfied learners. As a seasoned e-learning critic, I wholeheartedly recommend this course to anyone interested in strengthening their feature selection skills.

What We Liked

Covers a wide range of feature selection methods, including filter, wrapper, embedded, hybrid, and more.
Instructor shares practical experience and guides learners through problem-solving steps.
Well-structured with clear explanations and reproducible examples using Jupyter notebooks.
Helps build logical thinking for data analysis and encourages strategies for real-world applications.

Potential Drawbacks

Some reviewers suggest including more practical aspects of feature selection, such as cost considerations.
Lacks a comprehensive overview tying all techniques together with suggestions for various situations.
A couple of users missed specific topics like Shap values and deep learning.
Does not provide multilingual support; some learners would appreciate a Spanish version.