Курс "Введение в машинное обучение" от Яндекса и ВШЭ

Неделя 1: Знакомство с анализом данных и машинным обучением. Логические методы классификации.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
01. data_preprocessing.ipynb		01. data_preprocessing.ipynb
02. features_importance.ipynb		02. features_importance.ipynb
03. neighbors_count.ipynb		03. neighbors_count.ipynb
04. metrics.ipynb		04. metrics.ipynb
05. features_normalization.ipynb		05. features_normalization.ipynb
06. support_object.ipynb		06. support_object.ipynb
07. text_analysis.ipynb		07. text_analysis.ipynb
08. logistic_regression.ipynb		08. logistic_regression.ipynb
09. metrics_quality.ipynb		09. metrics_quality.ipynb
10. linear_regression.ipynb		10. linear_regression.ipynb
11. stock_index.ipynb		11. stock_index.ipynb
12. random_forest.ipynb		12. random_forest.ipynb
13. gradient_boosting.ipynb		13. gradient_boosting.ipynb
14. image_colors.ipynb		14. image_colors.ipynb
15. project.ipynb		15. project.ipynb
README.md		README.md