mmostafa-95
Data Analytics Engineer @ WE, ITI AI-Pro intake 1 graduate. Interested in AI and ML. Former software developer, Computer Engineering graduate.
Telecom EgyptEgypt
mmostafa-95's Stars
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
ashishps1/awesome-system-design-resources
Learn System Design concepts and prepare for interviews using free resources.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
ml874/Data-Science-Cheatsheet
lukas/ml-class
Machine learning lessons and teaching projects designed for engineers
AssemblyAI-Community/ML-Study-Guide
Minimal Machine Learning Study Plan
peremartra/Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
hurshd0/must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
yash42828/Data-Science--All-Cheat-Sheet
h9-tect/AI-cheatsheets
CATReloaded/CATReloaded-Circles-Roadmaps-2023
h9-tect/AI-Roadmaps
h9-tect/Data_reprocessing
GeorgeHanyMilad/Data-Analysis-and-BI-Resources
Data Analysis and BI Resources 📊