Mohamed Anas's repositories
awesome-opensource-data-engineering
An Awesome List of Open-Source Data Engineering Projects
Data-science
Collection of useful data science topics along with code and articles
leetcode
Python & JAVA Solutions for Leetcode
HackerRank-Solutions
HackerRank concepts & solutions
awesome-data-engineering
A curated list of data engineering tools for software developers
data-engineering-practice
Data Engineering Practice Problems
full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
Data-Engineering-with-AWS
Data Engineering with AWS, Published by Packt
awesome-notebooks
+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎
kedro-training
Find documentation and a template project for delivering Kedro training.
LearningApacheSpark
LearningApacheSpark
python-guide
Python best practices guidebook, written for humans.
leetcode-1
Solutions of Leetcode problem
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
LeetCode-Solutions
LeetCode concepts & solutions
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
github-profile-readme-generator
:rocket: Generate github profile README easily with latest add-ons like visitors count, github stats, etc using minimal UI.
Gooey
Turn (almost) any Python command line program into a full GUI application with one line
GooeyExamples
Example programs to Demonstrate Gooey's functionality
machine-learning-with-scikit-learn-live-training
Live Training Session: Machine Learning with Scikit Learn
GCP-Data-Engineering
Materials and notes for GCP DE preperation
Interview-Preperation
Documents on research on how to get started
practicalAI
📚 A practical approach to machine learning.
Data-Science--Cheat-Sheet
Cheat Sheets
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.