FIT CTU course in czech, mainly focused on introduction to data science, basic models and best practices technologies: python, jupyter notebooks
- 01: WebScraping + data visualisation (Czech regional elections)
- 02: Decision trees + AdaBoost + RandomForest (Kaggle titanic dataset)
- 03: Customer segmentation using Knn (clustering) - RFA method
- 04: Regression - house sale/construction price prediction
Both assignments and solutions are in their respective folders.