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H. M. Tarek Ullah's Projects

bd_govt_job_apply_automation icon bd_govt_job_apply_automation

ŠI am the only one owner of all codes of this repository. If anyone copies , steals or use my code in their project or software, i will take befitting steps against that person or company by imposing required license.

giver icon giver

Giver is a complete Fund raising website with high performance MySQL database admin panel specifically designed for patients .

graph-algorithms icon graph-algorithms

I will try to implement all the Graph Algorithms and Solve Problems related to Graph Theory here

location-based-food-delivery-service-using-python-and-google-maps-apis icon location-based-food-delivery-service-using-python-and-google-maps-apis

Implementation of Location based food delivery service using Python 2.7 and Google Maps APIs.It suggests restaurants to users based on their location and choice of cuisine. Moreover it shows delivery time , distance of user from selected restaurant in km and also draws a shortest path in google Map using travelling salesman problem under the hood. in It's only the Back-End or just a console app without any database.

point-of-sales icon point-of-sales

This project is developed in C# .In this project I have followed N-Tier architecture and also developed Object Relational Mapping (ORM ) from Scratch using MySQL database as backend . Metro UI has been used for user interface design.This project is useful for small shops.

reinforcement-learning-algorithms icon reinforcement-learning-algorithms

These implementatios shows Convergence and performance of policy and value iteration algorithms, how the convergence of these algorithms to the optimal value function depends on the number of iterations used. Furthermore, I have implemented on-policy SARSA and off-policy Q-learning algorithms and showed how the performance of these algorithms depends on the exploration-exploitation tradeoff, and on learning rates. My experiments were evaluted on benchmark reinforcement learning tasks such as a smallworld, gridworld and a cliffworld MDP to analyze the performance of our algorithms.

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