The solution for the Machine Learning Course, which is provided by Coursera

It contains solutions for all tasks in the course and also final project of using Gradient Boosting and Logistic regression. The information about course:

Week 1. Introduction. Examples of tasks. Logical methods: decision trees and decision forests.

Week 2. Metric classification methods. Linear methods, stochastic gradient.

Week 3. Support Vector Machine (SVM). Logistic regression. Quality classification metrics.

Week 4. Linear regression. Dimension reduction, principal component method.

Week 5. Composition of algorithms, gradient boosting. Neural networks.

Week 6. Clustering and visualization. Partial training.

Week 7. Application of data analysis tasks: statements and methods of solution.