Python Machine Learning Course Online (Self-Paced)

Self-paced online training with expert support

Learn machine learning fundamentals, including regression analysis and classification algorithms, using Python and data science libraries to solve practical problems.

$1,895 30 clock hours Live Support Start anytime

This course includes

  • 30 hours of project-based training from experts
  • 95 training videos
  • Software Access
  • Answers from real instructors
  • 1-on-1 bonus training
  • Verified digital certificate of completion

This course is self-paced. For live online or in-person instruction, take the Python Machine Learning Bootcamp.

This skill set is in high demand, as machine learning algorithms now drive much of the trading activity on Wall Street and power recommendation systems at major companies such as Amazon, Spotify, and Netflix.

This course begins with linear and logistic regression, two of the most established and reliable methods for solving machine learning problems. From there, the class moves into algorithms with different theoretical foundations, including k-nearest neighbors, decision trees, and random forests. Along the way, you will explore important statistical concepts such as bias, variance, and overfitting. You will also learn how to evaluate model accuracy and how to choose effective features and algorithms.

The course focuses on the practical skills needed to solve real-world machine learning problems. The mathematical ideas behind each algorithm are explained visually, but there is no formal math component. Students should already be comfortable writing Python programs and using the NumPy and Pandas libraries.

This course requires prior experience with Python and its core data science libraries, NumPy and Pandas. Students who have not previously worked with Python should complete our Python for Data Science Bootcamp 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 Bootcamp before taking this course.

Take this class as part of a certificate program and save:

Video Training Preview

Lesson 1: Basic Regression Analysis
Lesson 2: Supervised Learning Essentials
Lesson 3: K-Nearest Neighbors
Lesson 4: Titanic Survival Prediction
Lesson 5: Neural Networks

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