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mlk500/README.md

MasterHead

Malak Yehia 👩🏻‍💻

Java and Python Developer

  • 👩🏻‍🎓 BSc in Information Systems focusing on Data Science, University of Haifa
  • 🚀 In the final stages of a capstone project built with React and Flutter on the client side, and TensorFlow, Spring Boot, and MySQL on the server side
  • 🌱 Currently exploring and learning about Deep learning and LLMs
  • 🔧 Built projects using various technologies including Java, Android, Spring Boot, and Python
  • 🧠 Developed machine learning algorithms and prediction models from scratch
  • 🤖 Implemented deep learning models like MobileNetsV2
  • 🔬 Conducted experiments to explore various aspects of MobileNetsV2
  • 📫 How to reach me malak.y17000@gmail.com

Connect with me:

https://www.linkedin.com/in/malak-yehia-1ba489198/

🧰 Languages and Tools

Java Spring Android Python Pytorch Tensorflow FastAPI Pandas Sklearn SQL React TS Flutter C Figma Git GitHub



mlk500

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  1. ML-Algorithms ML-Algorithms Public

    In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor

    HTML

  2. ML-US-elections-prediction ML-US-elections-prediction Public

    predicting US House and Senate elections results

    Jupyter Notebook