Archive of tasks completed during Machine Learning Algorithms course in SPbSUE.

Archive includes:

• Gradient Descent;
• KMeans;
• Dimension Reduction;
• Association rules;
• Recommendation systems.
• Ranking;
• Linear regression;
• Regularization;
• Logistic regression;
• SVM and KNN;

Archive topics that are not presented yet:

• Generalized Linear Models;
• Autoregression models;
• Classification and Regression trees;
• Random Forest;
• Adaboost;
• Gradient Boosted Trees.