Уроки Machine Learning with Python

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

• Practical Machine Learning Tutorial with Python Intro
• Regression Intro
• Regression Features and Labels
• Regression Training and Testing
• Regression forecasting and predicting
• Pickling and Scaling
• Regression How it Works
• How to program the Best Fit Slope
• How to program the Best Fit Line
• R Squared Theory
• Programming R Squared
• Testing Assumptions
• Classification w/ K Nearest Neighbors Intro
• K Nearest Neighbors Application
• Euclidean Distance