Omid Hashemzadeh (omidcodes)

omidcodes

User data from Github https://github.com/omidcodes

Location:United Kingdom

GitHub:@omidcodes

Omid Hashemzadeh's repositories

photo-sharing-app

📷 Photo Sharing Web App (Django) A lightweight, Instagram-style web application built with Django that allows users to upload pictures, comment, and rate images with Azure, CI/CD. Features include image metadata, user interaction, paginated gallery.

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taskflow-api

Task manager REST API—Django 5, DRF, Celery, PostgreSQL, Docker.

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UsefulPythonExercises

There are some useful python examples inside this repository.

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django-request-replay

🔄 A Django middleware to record, track, persist, and replay API requests - enabling state restoration and precise debugging in volatile or reset-prone systems.

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LinuxStatAPI

FastAPI project to monitor Linux system info (CPU, memory, disk, network)

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cinema-django

Hi. This is cinema project with python and Django. This project contains ticketing and accounts apps. Enjoy.

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PatrowlCore

Project that handles requests between Microservices

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bigdata-education-nutrition

📊 Big Data analysis project exploring the relationship between educational attainment and nutrition quality using Hadoop, Hive, and Zeppelin on a US-wide health dataset.

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django

The Web framework for perfectionists with deadlines.

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PatrowlHearsOptimized

PatrowlHears - Optimized

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PatrowlManagerOptimized

PatrOwl - Open Source, Smart and Scalable Security Operations Orchestration Platform

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Deep-Learning-Q-Learning-Agent

Implementation of a tabular Q-learning agent to solve a custom 5×5 Grid World environment, featuring hyperparameter experiments, early stopping, and visualisations of the learned value function and policy.

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django-images

A simple image hosting application written in Django.

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ML-heart-disease-prediction

Machine learning project using the Kaggle Heart Disease Health Indicators dataset to predict heart disease risk. Covers preprocessing, EDA, and training models (Logistic Regression, Random Forest, XGBoost, SVM, KNN, Decision Tree, Naive Bayes) with evaluation via Accuracy, ROC-AUC, and Confusion Matrix.

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