Udemy – Dimensionality Reduction: Machine Learning in Python 2023-2

Dimensionality Reduction: Machine Learning in Python. This course is a comprehensive masterclass in learning dimensionality reduction techniques in machine learning using Python. As one of the most complete online resources, this course provides the skills necessary to become an expert in this field. After completing the course, participants will have a good understanding of the concepts of visualization and dimensionality reduction and can use these techniques in their projects. The course is designed for people who are tired of scattered or outdated training and starts from the basics without requiring any specific background. Throughout the course, core techniques such as PCA, LLE, t-SNE, and ISOMAP are taught and questions such as the nature of high-dimensional datasets and dimensionality reduction models are answered. There are also comprehensive chapters on dataset dimensions and dimensionality reduction mechanisms so that participants can code for different platforms.

What you will learn

• Mastery of Visualization and Dimensionality Reduction in Python.
• Become an advanced, confident, and modern data scientist from the ground up.
• Prepare to enter the job market by understanding how Dimensionality Reduction really works behind the scenes.
• Applying powerful machine learning techniques for Dimensionality Reduction.
• Proficiency in machine learning tools such as PCA, LLE, TSNE, Multidimensional Scaling, ISOMAP, and Fisher Discriminant Analysis.
• Learn how to think and work like a data scientist: problem solving, research, and workflow.
• Get fast and friendly support in the Q&A section.
• Practice skills with over 10 challenges and assignments (solutions included).

This course is suitable for people who:

• Anyone who wants to start learning Dimensionality Reduction in Machine Learning.
• Anyone interested in machine learning.
• Students who have at least high school math knowledge and want to start learning machine learning.
• People who are not comfortable with coding but are interested in machine learning and want to easily implement it on datasets.
• Students who want to start a career in data science.
• People who are not satisfied with their jobs and want to become a data scientist.
• Data analysts who want to advance in machine learning.
• People who want to add value to their business using powerful machine learning tools.

Course details Dimensionality Reduction: Machine Learning in Python

• Publisher:  Udemy
• Instructor:  Lucas Bazilio
• Training level: Beginner to advanced
• Training duration: 9 hours and 46 minutes

Course syllabus as of 2025/3

Prerequisites for the Dimensionality Reduction: Machine Learning in Python course

• 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.

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 936 MB

File(s) password: www.downloadly.ir

File size

3.9 GB