MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
In this path, you’ll learn the fundamentals of Python so you can prepare data and clean and correct errors. You’ll also learn to master various components and techniques of machine learning, like calculus, linear algebra, linear regression, k-nearest neighbors, k-means clustering, and decision trees.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
- Machine learning basics
- Avoiding common mistakes
- Evaluating model performance
- Common techniques like k-nearest neighbors, k-means clustering, and decision trees
- Mathematics for machine learning, including calculus and linear algebra
- Basics of linear and logistic regression
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.