- Here there my notebooks with ODS and Stepik courses
- ODS course is similar to https://mlcourse.ai/
- Stepik course is here https://stepik.org/course/4852/syllabus
- Pandas
- Visualization with Matplotlib, Seaborn, Plotly
- Decision Trees (GridSearchCV), kNN, cross-validation (K-fold)
- Linear Classification and Regression
- Bootstrap, Bagging and Random Forest
- Feature Engineering and Feature Selection
- PCA and Clustering (K-means, Affinity Propagation, Agglomerative clustering, DBSCAN)
- SGD, Online learning, Vowpal Wabbit
- Time series analysis (smoothing, Time series cross validation, Stationarity, basics of ARIMA
- Gradient Boosting
- Pandas
- Matplotlib, Seaborn, Plotly
- Scikit-learn
- Vowpal Wabbit
- Statsmodels
- Facebook Prophet
- XGBoost, LightGBM, Catboost
Also I included my trainings dedicated to algorithms and data structures This is a test message