Python Machine Learning Course Online

Self-paced online training with expert support

Master the basics of machine learning, including regression analysis and classification algorithms, in this hands-on course. Develop the skills to tackle real-world problems using machine learning, with a focus on Python programming and key data science libraries.

Offered by our affiliate school, Noble Desktop

Sign up at www.nobledesktop.com
$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
  • Learn at an accredited institution
  • Credits: 3 CEUs

This course is self-paced. You can take the Python Machine Learning Bootcamp for live online or in-person instruction at Noble Desktop.

Machine learning skills are highly sought after, as algorithms now drive much of the trading on Wall Street and product recommendations for major companies like Amazon, Spotify, and Netflix. This course begins with foundational machine learning concepts such as linear and logistic regression, which are essential tools for solving machine learning problems. You’ll then explore more advanced algorithms, including k-nearest neighbors, decision trees, and random forests. Along the way, important statistical concepts like bias, variance, and overfitting will be introduced. You’ll also learn how to evaluate the performance of your models and gain insight into selecting the most effective features and algorithms for your work.

The course focuses on practical skills, equipping you with the tools needed to solve real-world problems using machine learning. While the mathematical foundations of each algorithm will be explained visually, no formal math component is included. Students should be comfortable with Python programming and libraries such as NumPy and Pandas. If you're new to Python, it's recommended that you 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.

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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