Dimensionality Reduction: Machine Learning in Python
Last updated on September 23, 2026 8:52 pmDimensionality Reduction: Machine Learning in Python
★★★★★
$479.00 in stock
Udemy.com
as of October 3, 2026 12:42 pm
Learn Dimensionality Reduction in Python. Become a Data Scientist expert! Everything you need to get the job you want!
Created by:
Lucas Bazilio
Computer Scientist and Mathematician
Computer Scientist and Mathematician
Rating:4.7 (10reviews)
857students enrolled
What Will I Learn?
- Master Visualization and Dimensionality Reduction in Python
- Become an advanced, confident, and modern data scientist from scratch
- Become job-ready by understanding how Dimensionality Reduction really works behind the scenes
- Apply robust Machine Learning techniques for Dimensionality Reduction
- Master Machine Learning Tools such as PCA, LLE, TSNE, Multidimensional Scaling, ISOMAP, Fisher Discriminant Analysis, etc.
- How to think and work like a data scientist: problem-solving, researching, workflows
- Get fast and friendly support in the Q&A area
- Practice your skills with 10+ challenges and assignments (solutions included)
Requirements
- No data science experience is necessary to take this course.
- Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.
Target audience
- Any people who want to start learning Dimensionality Reduction in Machine Learning
- Anyone interested in Machine Learning
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
- Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets
- Any students in college who want to start a career in Data Science
- Any people who are not satisfied with their job and who want to become a Data Scientist
- Any data analysts who want to level up in Machine Learning
- Any people who want to create added value to their business by using powerful Machine Learning tools


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