OsaidHamza7
4th year computer engineering student at Birzeit University. Full-Stack Web Development,with AI and NLP.
birzeit universityPalestine,tulkarm
OsaidHamza7's Stars
M7mdOdeh1/ENCS4330-RealTimeProject-2
Real Time Project about Supermarket Product Shelving Simulation.
M7mdOdeh1/ENCS4330-RealTimeProject-1
MohammadKhaderAhmad/HolyQuran
jehad-halahla/cryptography
test purposes, simple codes
Omarmasalmah/Machine_Learning-Assignment_1-
This project involves the analysis of a car dataset using Python and Pandas, focusing on exploring, cleaning, and modeling the data. The dataset contains information about various car features, including fuel economy (mpg), horsepower, acceleration, and more.
M7mdOdeh1/ENCS3320-Computer-Networks
M7mdOdeh1/COMP333-DataBase-Systems
M7mdOdeh1/ENCS3390-Operating-System
M7mdOdeh1/ENCS4310-DSP-Project
DSP Project
M7mdOdeh1/ENCS3130-LINUX-LABORATORY
LINUX LABORATORY Projects
NidalZabade/FinalProjectAndriodLab
lutfiqasim/SummerTraining-tasks
The required tasks by my instructor while training at the BZU-Computer-Center as a full stack develeoper
OsaidHamza7/E-commerce-System
shereenIbdah/Magnetic-Cave-Game
2-player adversary game where each player tries to build a “bridge” of 5 magnetic bricks within a cave whose left and right walls are magnetic
faris771/Email_Spam_Filter
This project compares K-Nearest Neighbors (K-NN) and Multilayer Perceptron (MLP) models for email spam detection. The goal is to predict spam emails using these models and evaluate their performance. The results contribute to improving spam filtering systems.
Omarmasalmah/AI_Search_Spam-emails
The project aims to develop and evaluate email spam classification models using two different classifiers: k-NN (k-Nearest Neighbors) and MLP (Multi-Layer Perceptron).
OsaidHamza7/ENCS3340-ARTIFICIAL-INTELLIGENCE
OsaidHamza7/ENCS4370-COMPUTER-ARCHITECTURE
lutfiqasim/ComputerNetwork-Project1
M7mdOdeh1/COMP133-C-Programming-Language
faris771/COMP333_DB_PROJECT
Hotel DBMS for Database course
faris771/ENCS4310_DSP_ASSIGNMENT