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Hi 👋, I'm Mohamed Khaled

Civil Engineering graduate with a passion for deriving conclusions and making predictions by using advanced data analysis techniques.

Connect with me:

mohamed86093757 mohamed-khaled-632526207 mkg2020 playermkg @ds_mkg181993

Languages and Tools:

flask git html5 mysql pandas python scikit_learn seaborn tensorflow

Mohamed Khaled's Projects

computer-vision-with-python-udemy icon computer-vision-with-python-udemy

This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deeprl icon deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

egfwd-ml-cross-skilling icon egfwd-ml-cross-skilling

This repo contains the Udacity charity ML project which is an application on supervised machine learning

game-hacking icon game-hacking

Tutorials, tools, and more as related to reverse engineering video games.

gym-nes-mario-bros icon gym-nes-mario-bros

🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game

investigating-european-soccer-database icon investigating-european-soccer-database

This soccer database comes from Kaggle and is well suited for data analysis and machine learning. It contains data for soccer matches, players and teams from several European countries from 2008 to 2016. In this project I explored the data and performed data cleaning using python libraries like numpy, pandas, Matplotlib and others. I posed some research question on this data and performed EDA (Exploratory Data Analysis) to get answers and draw conclusions. Finally, I put some useful links and references which helped me completing this project.

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