⚡Youssef Aboelwafa⚡'s repositories
Python_Golden-Notes
This is my Python Notes Repo This Repo include Notes for 3 main libraries in Python used for Data Science & Machine Learning (numpy | matplotlib | pandas)
Unsupervised-ML
Unsupervised Machine Learning Models
NutriBalance_HealthTracker
NutriBalance is a Health Tracker web application that calculate your GDA, show you various diet plans and track your weight history to give you insightful analytics about your progress
Supervised-ML
This Repo contains some Models of Supervised Machine Learning and some important Operations applied on the data in the preprocessing phase
House-Price-Prediction_Gradient-Descent
House Price Prediction using Gradient Descent Algorithm || Linear Regression
8-Puzzle_Solver
8 Puzzle Solver Using Classical Search Algorithms: DFS | BFS | A*
Activity-Detection
Activity Detection Using Unsupervised Learning Algorithms: DBSCAN, K-Means & Spectral Clustering to identify and label different activities in a dataset
Connect4_AI-agent
Play Connect4 against an intelligent AI agent using Minimax Algorithm with and without Pruning
Generative_Adversarial_Networks
Deep Convolution Generative Adversarial Networks (DCGANs) on MNIST dataset
Hotel-Booking-Cancellation-Prediction
End 2 End Project Using 5 Machine Learning Models & Deployment using Flask
Image-Caption-Generator
Computer Vision and NLP techniques are combined (CNN & LSTM) to understand the content of an image and generate a coherent and relevant description
Java_Dictionary-Trees
This is an application based on 2 self balanced binary search trees (AVL / RED BLACK)
Clustering-Penguins-Species
Utilize Unsupervised learning skills to reduce dimensionality and identify clusters in the penguins dataset
Face-Recognition
Face Recognition Project using PCA and LDA Algorithms for Dimensionality Reduction
Retina_Blood_Vessel_Segmentation
The project involves using a dataset of 100 high-resolution retinal fundus images for blood vessel segmentation to aid in early detection of retinal pathologies | Implemented U-Net architecture from scratch, known for its efficiency in semantic segmentation with limited data | The final model achieved 86% IoU score | PyTorch Lightning
Credit-Card-Approval-Prediction
Credit Card Approval Prediction using Logistic Regression || Classification
Deep-Learning
This Repo contains some Supervised Machine Learning problems (Regression | Classification) solved using Deep Learning Techniques:
Exam-System
Designing and Implementing an Examination System & Online Judge for Gammal Tech
Game-Engine
Game Engine for 4 games with JavaScript
Game-Engine-SCALA
This is a Game Engine Implemented with SCALA using Functional Programming Paradigm
Heap_and_Sorting
Binary Heap | Priority Queue | Sorting techniques
Investigating-Netflix-Movies
Investigating Netflix movies dataset using python libraries: pandas and matplotlib
IRIS-Species-Classification_Flask-Deployment
End 2 End Machine Learning Model Deployed using Flask
Linux-Shell
A simple-shell program in C language
Mail-Server
Object-oriented model for a mail-server including the manipulation of mails, attachments, and contacts applied with OOP concepts & many design patterns
Paint
This is an Object-oriented based application that draw geometric shapes & some design patterns were applied as Prototype and factory
Shortest-Path-Algorithms
Three shortest path algorithms: (Dijkstra), (Bellman-Ford) and (Floyd-Warshall)