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Skill Factory Machine Learning Course

In this sections we cover Machine Learning related topics covered in the course

Модуль 3. Линейные Модели

Practice linear regression and classification modeling methods

Модуль 4. Кластеризация

Practice methods of clusterisations, understand their parameters and unique points

Methods of metric evaluation, clusterisation requires some less straightforward metric evaluation

Practical problem for news text classification

Модуль 5. Решающие деревья и случайный лес

Practice for tree based methods, Decision Tree & Random Forest

Модуль 6. Бустинг. Стекинг

Practice for Gradient Boosting & Model Stacking

Модуль 8. Временные ряды в МО

Time series based machine learning

Projects

Hackathon competition projects