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Hi there, I'm Ömer 👋

  • 🏫 I am an Electrical and Electronics Engineering student at Bilkent University, class of 2025.
  • 👨‍💻 I am currently learning about Machine Learning and Deep Learning models, focusing on Generative Adversarial Networks and Large Language Models.
  • 👯 Add me on LinkedIn
  • 📫 How to reach me: [email protected]

Programming Languages

phyton C VHDL MATLAB R

Machine Learning Tools

pytorch TensorFlow scikit-learn

Databases

MySQL SQLite

Statistics

Top Langs

Ömer Tuğrul's Projects

bbc-news-classification icon bbc-news-classification

BBC News Classification using Multinomal and Binomial Naive Bayes Classifier written scratch without using any ML library.

breast-cancer-classification icon breast-cancer-classification

EEE 485 - Statistical Learning and Data Analytics Term Project - All Machine Learning Algorithms are coded from scratch using Numpy.

cs115 icon cs115

Bilkent Cs115 Lab Questions

discrete-opamp icon discrete-opamp

The purpose of this project is to design operational amplifier (OPAMP) design featuring self-biasing, differential input, and single-ended output capabilities.

gcd-vhdl icon gcd-vhdl

Greatest Common Divisor application using VHDL

joystick-module icon joystick-module

This is an Micropython library for using Joystick with Raspberry Pi Pico.

keypad-library icon keypad-library

This is an Micropython library for using different keypads with Raspberry Pi Pico.

online_funding_system icon online_funding_system

For my CS281 Database Management Systems course, we create a desktop application as a group of 5 people. In this application, we programmed the user interface with the Python library PySimpleGUI and managed the database with SQLite.

sht20_temperaturesensor icon sht20_temperaturesensor

This is an library to use SHT20 Temperature sensor in Raspberry Pico Board. Written in Micropython.

smart_double_door_system icon smart_double_door_system

Smart Double Door System designed for the EEE212 Microprocessors course. I used KL25z Board for this project and connected seven peripherals to this board. Please watch the video for the demo.

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