Dimensionality Reduction: Machine Learning in Python

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

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