Skip to content
View Omar10lfc's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Omar10lfc

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Omar10lfc/README.md

Hey there πŸ‘‹, I'm Omar Mashaly

Data Scientist | Football Analytics Enthusiast

πŸ‘¨β€πŸ’» About Me

I'm a data scientist passionate about using machine learning to solve real-world problems. Currently, I'm an undergraduate at Egypt-Japan University of Science and Technology (E-JUST), specializing in AI and data science.

  • πŸ”­ I’m working on AI applications in healthcare and football analytics.
  • πŸ“š I'm currently exploring deep learning, reinforcement learning, and advanced analytics for sports and neuroscience.
  • ⚑ In my free time, I enjoy analyzing football data, designing websites, and keeping up with Liverpool FC! ⚽πŸ”₯

πŸ›  Languages and Tools

Python PyTorch Pandas NumPy MySQL Docker Streamlit Scikit-Learn Seaborn Hugging Face

πŸ”₯ My Stats

GitHub Streak
Top Languages
GitHub Activity Graph

Pinned Loading

  1. Neural-Network-Project-Weather-Forcasting Neural-Network-Project-Weather-Forcasting Public

    In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluat…

    Jupyter Notebook

  2. DEPI-Graduation-project-Diabetes-Diagnosis DEPI-Graduation-project-Diabetes-Diagnosis Public

    Predictive Analytics for Diabetes Diagnosis and classification Using Machine Learning

    Jupyter Notebook 1

  3. LSTM_Human_Activity_Detection LSTM_Human_Activity_Detection Public

    This project focuses on Human Activity Recognition (HAR) using time-series sensor data collected from mobile devices. The goal is to build a deep learning model specifically an (LSTM-based neural n…

    Jupyter Notebook 1