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