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Ümit Dengiz - Computer Engineer (Software Developer) 🐍

hey there

My name is Yumit, I am Software Developer 💥

I enjoy staying up to date with the latest technology trends, learning new things, and implementing them. I also enjoy developing creative and innovative solutions.

🛠️ Languages and Tools :

FrontEnd

HTML  CSS  JavaScript  TypeScript  AngularJS 

BackEnd

NodeJS  C#  Java  Python 

SQL - DataBase

MySQL  MsSQL  PostgreSQL  MongoDB 

Tools

VisualStudio  VSCode  Azure  Jira  Trello  Canva  Chrome 

Ümit Dengiz's Projects

ngturkey-makaleler icon ngturkey-makaleler

NGTurkey üyeleri tarafından hazırlanıp, yayınlanmış makalelerin tamamının yer aldığı ayrıca angular hakkında faydalı içeriklerin listelendiği bir repo.

q-learning-1 icon q-learning-1

The model-free reinforcement learning techniques as the Q-learning algorithm can be successful with relatively small training episodes in learning how to navigate independently, it converged 80% of the time after only 25,000 training episodes. The high complexity of the algorithm may restrict the training capacity as it took over 11 hours to train, while in execution it took less than 4 seconds on average for each episode. The success rate was also affected by the fact that the episode terminates right after colliding with an obstacle, rather than continuing the navigation afterwards, to ensure proper obstacle avoiding approach to be returned in the Q-table. Other design strategies as continuous navigation after collision may increase the accuracy significantly. There’s a great potential for the off-policy Q-learning algorithm in fire-extinguishing applications, more powerful computing machines can enable training over a higher amount of episodes to check the highest possible accuracy before stagnation.

q-table-learning-openai-gym icon q-table-learning-openai-gym

With the concept of Q-Table learning in Reinforcement Learning we are going to experiment in the environment "FrozenLake" provided by OpenAI Gym

react icon react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

react-1 icon react-1

Cheatsheets for experienced React developers getting started with TypeScript

reeldb icon reeldb

This is a website for movie buffs. Visit the directory below to see a list of movies in our collection!

rl-qlearning icon rl-qlearning

Solved Mountain Car and Taxi problems (OpenAIGym) using simple Reinforcement Learning by implementing Q-Tables

serilog icon serilog

Simple .NET logging with fully-structured events

solidity icon solidity

Solidity, the Smart Contract Programming Language

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