This GitHub repository contains a collection of projects completed during my Master of Science (MSc) degree at Athens University of Business and Economics. Each project showcases the skills and knowledge acquired throughout the program, covering a range of topics in Applied Statistics. The repository is organized for easy navigation, and each project is housed in its respective directory.
Project 1: Big Data
- Description: This course aims how to handle big data, and what are the methodologies one could apply to explore, visualize, understand and of course model this immerse amount of data.
- P.Language: R
Project 2: Control Theory
- Description: Throughout this course we explore the methodologies of control theory and its applications to real world problems. In this repository, you will come accross an example of coffee bags. I am trying to identify faulty coffee bag production on time, and of course avoid selling the defecting ones.
- P.Language: R
Project 3: Financual Mathematics with Python
- Description: Financial mathematics attempts to capture ups and downs of stocks and shares. We explore methods to model the movement and predict future values.
- P.Language : Python
Project 4: Optimization
- Description: During this course we eplore how optimization methods work and should be properly used, like classical numeric methods, guided random search techniques and local greedy searches
- P.Language : R & Python
Project 5: Time Series
- Description: In this course we modeled time series data, and explored methods like AR, MA, ARMA, ARIMA, GARCH and many many more.
- P.Language : R
If you're interested in exploring any specific project, navigate to its respective directory, via directory or linked titles in this readme files.
Feel free to explore the projects and use the code as a reference or starting point for your own work. If you have any questions or suggestions, please don't hesitate to open an issue or reach out via email.
This repository is builded using AUEB (Athens University of Business and Economics) material and solutions built by me. So I guess the material are licensed to AUEB.
I would like to express my gratitude to all Professors who provided guidance and support throughout the completion of these projects and taught me everything I know.
Thank you for visiting this repository! I hope you find the projects interesting and informative.