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Evaluating and optimizing several different supervised learners to best identify potential donors to CharityML

Home Page: https://mmhamdy.github.io/predict_potential_donors/

HTML 71.06% Jupyter Notebook 28.18% Python 0.76%
matplotlib numpy pandas python scikit-learn udacity-machine-learning-nanodegree

predict_potential_donors's Introduction

Hi there 👋

I’m Mohammed Hamdy. I’m currently self-studying machine learning and computer science. I’m interested in the application of machine learning and natural language processing in biology and in neural network compression techniques.

I enjoy learning, discussing, and comparing different programming languages and deep learning frameworks. I think that there’s always something new to learn from every new tool.

🔮 Technologies

Programming Languages

Python, R, JavaScript, TypeScript, Rust

                       

Machine Learning

Numpy, JAX, TensorFlow, PyTorch, Scikit-Learn

                       

Natural Language Processing

Hugging Face Ecosystem, spaCy

     

Web Development

ReactJS, NextJS

     

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