Уроки Python Machine Learning Tutorials

This series starts out teaching basic machine learning concepts like linear regression and k-nearest neighbors and moves into more advanced topics like neural networks and convolution neural networks.

• Linear Regression Saving Models &
• Plotting Data KNN p.1 - Irregular Data KNN p.2 - How does K Nearest Neighbors Work? KNN p.3 - Implementation Using Sklearn Datasets SVM P.2 - How Support Vector Machines Work SVM P.3 - Implementing a SVM How K Means Clustering Works Implementing K-Means Clustering