Gökçenaz Akyol's Projects
In this repository I will take notes of what I learned every single day.
image processing
basic opencv operations
Deployment of PyTorch chatbot with Flask
chatbot-for-medicAI
The main goals of this project are to identify and address the problems in healthcare with the help of AI. For instance, we want to make it easier for doctors to find and review medical information when they need it, and we want to help them diagnose patients more accurately.
I'm sharing my progress in Flutter.
In this project, we plan to implement a multifaceted approach by incorporating a variety of classification methodologies.
In this project, we will examine the data set we have and construct a suitable prediction model.
Embedding denemedi
After processing the data we received from Tüpraş, such as data preprocessing, data analysis, and time series analysis, we searched for the machine learning model suitable for these data. As a result of the competition, we ranked 5th. Team name: Suffering. Team members: Gökçenaz Akyol, Sinan Uçmaz, Melih Darcan.
Fourier Transform Exercise
my own readme
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
This is my website.
Hands-on Exploratory Data Analysis with Python, published by Packt
Image Blending using Laplacian Pyramid method
Image Enhancement Techniques Exercise
I upload the solutions for small cases.
This repository is an exercise of k-Nearest Neighbors Algorithm with MNIST dataset.
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Here are the machine learning papers that I've studied.
Notes and codes from the course "Mastering Data Structures & Algorithms using C and C++" by Abdul Bari.
Second Flutter Project
I trained my first machine learning model in unity with MLAgents library.
Creating a portfolio website.
Parking spot detection based on a tutorial named "Parking spot detection and counter | Computer vision tutorial"
Red Ball Detection
Spatial Filters Exercise