This repository contains projects carried out within the framework of the master's program Big Data and Machine Learning
Below is a table describing each subjects and the stack of technologies that were used during the course
| Subject | Brief description of the subject | Technology stack |
|---|---|---|
| Analysis and Development Algorithms | This subject is about basic algorithms and a comparison of their effectiveness | pandas, plotly |
| Machine Learning Technologies | This subject is related to basic machine learning algorithms and artificial intelligence | pandas, plotly, seaborn, scipy, sklearn |
| Introduction to Machine Learning (Python) and Advanced Machine Learning (Python) | This course discusses the main tasks of machine learning: regression, classification, clustering | pandas, plotly, numpy, scipy, sklearn |