/ml-yandex

ML solutions for Yandex course at Coursera

Primary LanguageJupyter Notebook

Solutions for tasks in ML Yandex Course

  1. Pandas training. Decision trees.
  2. Metric methods. KNN.
  3. Support Vector Machine. Application to TF-IDF. Logistic regression and gradient descent self-implemented. Classification metrics (accuracy, precision, recall, F1 measure).
  4. Multiparametric linear regression. Categorical features. Principal component analysis.
  5. Bagging and boosting. Random forest and boosted gradient classification.
  6. K-Means for reducing number of features