Python Machine Learning Course Online

Self-paced online training with expert support

Master the fundamentals of machine learning, including regression analysis and classification algorithms, in this hands-on course. You'll develop the skills to take on real-world problems using machine learning, with a focus on Python programming and key data science libraries.

$1,895 30 clock hours Live Support Start anytime

This course includes

  • 30 hours of project-based training from experts
  • Software Access
  • Answers from real instructors
  • 1-on-1 bonus training
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Learn at an accredited institution
  • Credits: 3 CEUs

Machine learning skills are in high demand, since algorithms now drive much of the trading on Wall Street and the product recommendations behind major companies like Amazon, Spotify, and Netflix. This course opens with foundational machine learning concepts such as linear and logistic regression, both essential tools for solving machine learning problems. From there, you'll explore more advanced algorithms, including k-nearest neighbors, decision trees, and random forests. Along the way, you'll be introduced to important statistical concepts like bias, variance, and overfitting. You'll also learn how to evaluate the performance of your models and gain insight into choosing the most effective features and algorithms for your work.

The course centers on practical skills, equipping you with the tools you need to solve real-world problems using machine learning. While the mathematical foundations of each algorithm are explained visually, no formal math component is included. You should be comfortable with Python programming and libraries such as NumPy and Pandas. If you're new to Python, it's a good idea to build those fundamentals before enrolling.

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This course has a prerequisite

This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Coursebefore taking this course.

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