Name: Gökay Akçay
Type: User
Bio: I started coding with Java in 2013,
I am interested in Unity ,C#, .NET Framework Java Development and over 2 years, Python Development
Location: Turkey, Istanbul
Blog: https://www.linkedin.com/in/g%C3%B6kay-ak%C3%A7ay-647522188
Gökay Akçay's Projects
👨💻 About @alwinw
I created a web-based NFT game project along with the buildspace tutorial.
Repository of my portfolio website, made with Flask
GoodReads Best Books Ever dataset repository
Solutions to some of the questions in the computational analysis methods courses in my university.
It is a simple example model of the "mean-area approximation" used in physical systems. Mean area approximation: a like term that makes each matrix element interact only with its nearest neighbors.
A code that can convert morse code written with keyboard inputs to a text written in latin alphabet
Implementation of Perlin Noise Map on 3D Surfaces using OpenGL w# Python.
Her Dil için Programlamaya Giriş Antreman Soruları ve Çözümleri
My very first project on Quantitive Analysis at Quantconnect. I tried to understand fundementals of coarse and fine filtering. While i was doing that I realized using both Price Earn (PE) and Return on Earn (ROE) values can be much more beneficial in the long term unlike in the short term. Yet, only PE filtering is much more effective in the short term.
In libraries such as Matplotlib, Numpy, Seaborn, I developed a model that calculates the similarity ratio of a dice with Monte Carlo simulation (with iterations) and draws its linear regression line.
A simple smart contract project made in Solidity where polls can be created and voted.
This project is created for understanding the fundemantals of web scraping and python spotipy library. Basically, It gets the data of top100 song in related website using web scraping then automatically adds them into created spotify list
It is a beginner-level project on data analysis and the stock market. It was made only for self-improvement. In this application, users can automatically get the last 5 news about the stock in case of daily volatile increase or decrease in the market.