❗ The course in English starts on Feb 5, 2018 as a series of articles (a "Publication" on Medium) with assignments and Kaggle Inclass competitions. The course is free but you can support organizers by making a pledge on Patreon ❗
These are the topics of Medium articles to appear from Feb 5 to Apr 7, 2018 (every Monday). The articles (Medium "stories" in a "Publication") will be in Eglish. All articles in Russian are already published and are given here with "RUS" hyperlinks. If you don't read Russian, still math, code and figures can give you an idea of what's going on. But again: all these articles are translated into English and will be published on Medium from Feb 5 to Apr 7, 2018.
- Exploratory data analysis with Pandas, RUS
- Visual data analysis with Python, RUS
- Classification, decision trees and k Nearest Neighbors, RUS
- Linear classification and regression, RUS
- Bagging and random forest, RUS
- Feature engineering and feature selection, RUS
- Unsupervised learning: Principal Component Anslysis and clustering, RUS
- Vowpal Wabbit: learning with gigabytes of data, RUS
- Time series analysis with Python, RUS
- Gradient boosting, RUS
- Prerequisites: Python, math and DevOps - how to get prepared for the course
- Software requirements and Docker container - this will guide you through installing all necessary stuff for working with course materials