The Complete Machine Learning Course with Python

In this 18-hour course, you will gain hands-on experience building machine learning projects with Python. You'll learn how to implement models for classification, regression, clustering, and more, as well as master tools like Scikit-Learn and visualizations with Matplotlib and Seaborn.

What I will be able to do after this course

• Design efficient workflows for machine learning problems using Python.
• Build prediction models for real-world tasks like house pricing and handwriting recognition.
• Apply techniques like clustering and SVM for unsupervised and supervised learning problems.
• Enhance model performance using methods like cross-validation and feature engineering.
• Master end-to-end tasks from data preparation to visualizing insights effectively.

Course Instructor(s)

Anthony Ng is an experienced data scientist and educator who specializes in teaching complex technical concepts in an accessible and engaging manner. With a passion for enabling students to solve real-world problems, he brings years of industry expertise and a practical, step-by-step approach to this comprehensive course.

Who is it for?

This course is ideal for beginners interested in machine learning and Python programming who aspire to delve into practical data science applications. Intermediate users looking to deepen their understanding of algorithms and techniques, and professionals aiming to enhance their workflow automation skills or transition into data-related careers, will find this course highly suitable.