Practical course on applying machine learning techniques using Python for data analysis and prediction.

This course focuses on applying machine learning techniques using Python. Topics include linear regression, logistic regression, decision trees, random forests, and k-nearest neighbors. It offers over 14 hours of video, 4 articles, and 10 downloadable resources.