arabic_sms_detection_project

Arabic SMS Project Detection is a machine learning project that accurately classifies Arabic and translated English SMS messages. It combines Google API for translation, AraBERT pre-trained model, and CNN/LSTM algorithms. Achieving 97.85% accuracy, it provides a comprehensive solution for automated SMS classification.

c_language

Hangman game project

data-science-job-salaries-eda

Data Science Job-Salaries EDA

datathon_shipwrecked_competition

this competition hosted by Google DSC-HTU and it challenges participants to analyze shipwreck data. With ensemble learning techniques, I achieved 86.654% accuracy.

email-phishing-attempts-detection-using-nlp

Email Phishing Attempts Detection from the text of email bodies using natural language processing and machine learning

financialfoodtradinginsight

htu_gpt

HTUGPT is an intuitive Arabic question answering website. Get instant answers in Arabic on various topics. Powered by advanced AI models, it offers a user-friendly interface.

introduction-to-github

jaberjaber23

java_oop

jrkit_advanced_encoding_toolkit

Introducing JR's Advanced Encoding Toolkit: a collection of innovative encoding techniques for enhanced data representation. Includes Leave-One-Out, EMW, RBF, and Regularized Linear Regression Encoders. Boost model performance and extract valuable insights from your data.

localize

mobile-price-classification

Mobile Price Classification (LogisticRegression, Random Forest Classifier, SVC) with accuracy 95.2%

rock_paper_scissors_game

Rock Paper Scissors Game: Simple implementation using OpenCV. Compete against the computer by mimicking hand gestures. Just clone, install dependencies, and play! Have fun beating the computer!

satechnicalonboarding

smoke-detection-classification

Smoke Detection Classification using (Logistic Regression and Random Forest Classifier) with accuracy 99.99%

spaceship_titanic_competition

Spaceship Titanic Passenger Detection: Exploring Cosmic Mystery with Python & ML. Achieved 80.9% accuracy using data-driven approach. Explore my GitHub repo for code & insights. Competition link: https://www.kaggle.com/competitions/spaceship-titanic

telecom_complaint_data_science

titanic_competition

Titanic Survival Prediction: Achieved 0.845622 accuracy. Data-driven approach using Python & ML techniques. Explore my GitHub repo for code & insights.

whisper

Robust Speech Recognition via Large-Scale Weak Supervision