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Hi , I'm Bart

I'm a fifth-year student from Poland


👨 About me:

Key facts

  • 👨‍🎓 Master of Engineering degree pursuer in Computer Science - Data Science at the AGH University of Science and Technology,

  • 👨‍🎓 Bachelor's degree graduate in Computer Science and Econometrics at the AGH University of Science and Technology,

  • 📫 How to reach me: Linkedin Badge

💻 Public projects

🤖 Machine Learning

🗣️ Natural Language Processing (NLP)

👁️ Computer Vision

♨️ Java apps

Bartłomiej Jamiołkowski's Projects

agh-data-mining icon agh-data-mining

Advanced projects made for the Data Mining course at the AGH UST in 2024

agh-models-in-credit-and-operational-risk icon agh-models-in-credit-and-operational-risk

This project and exercises were made for the Models in credit and operational risk course at the AGH UST in 2022. All provided methods are a result of my work after hours, when I was solving given tasks (topics).

agh-operating-systems icon agh-operating-systems

In this repository are gathered my numerous solved exercises from Operating Systems Laboratories on AGH

catering-system icon catering-system

Catering system [BETA] is JavaFx application which purpose is to enable user to order food. It consists of multiple windows dedicated for admin and client. It also has databases designed in XAMPP. To run this application just ensure that you have created databases (screens are provided in folder 'project databases'). The project also requires: jdbc package , SQLConnector and set JavaFx in your project in Intellij IDEA. The first user in database 'users' must be your futer admin login , so be carefull in your choices. This is BETA version and there is possibility that it will be upgraded in the near future.

evolution-simulator icon evolution-simulator

Evolution simulator is a desktop java application creted for the Object-Oriented Programming course at the AGH UST in 2022/2023.

traveling-salesman-problem icon traveling-salesman-problem

The theme of the project is the symmetrical traveling salesman problem. The repository contains 5 optimization algorithms: Tabu Search, Hill Climbing with Multi-Start, Nearest Neighbor, Simulated Annealing and Genetic Algorithm.

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