AmiraOmar99

AmiraOmar99's Stars

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook28.2k5.8k

• cs-MohamedAyman/Interview-Preparation

  Interview Preparation for computer science students.

  464

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook9.6k2.3k

• edaaydinea/365-days-of-code-2022

  This coding challenge is created by Eda AYDIN. This coding challenge aims to progress from Python programming to Computer Vision, Natural Language Processing in Artificial Intelligence and Neuroscience.

  Language:Java192

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  338k61.7k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.9k2k

• J0eBinary/Assembly-ARABIC

  An Assembly language course written in Arabic to teach technicians and Cybersecurity specialists the basics of Assembly language in x86 and x64 architectures.

  543

• Suji04/Data_Structures

  Implementation of all basic linear and non-linear data structures in C++

  Language:C++22

• Suji04/ML_from_Scratch

  Implementation of basic ML algorithms from scratch in python...

  Language:Jupyter Notebook282227

• hunter-heidenreich/ML-Open-Source-Implementations

  A repo of open source implementations of machine learning papers

  Language:Jupyter Notebook2825

• Nithur-M/work-from-anywhere

  A daily curated list of jobs that allow working from anywhere.

  77019

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  204k26.6k

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.4k776

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• ageron/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.

  Language:Jupyter Notebook28k12.8k

• ageron/handson-ml3

  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.

  Language:Jupyter Notebook7.8k3.1k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k76.8k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.4k10.6k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.7k14.5k

• sbme-tutorials/Internships-Forked

  forked for pulling

  8

• ACM-Alexandria-SC/internships

  Language:Shell2.3k217

• GeekMind00/Software-Engineering-Course

  This is the unofficial lecture notes of the software engineering course offered by SBME Cairo university for the 2022 class by Eng. @alaa-nassef & T.A. @alaaMelek

  13

• microsoft/IoT-For-Beginners

  12 Weeks, 24 Lessons, IoT for All!

  Language:C++15.4k2.4k

• MaJerle/stm32-cube-cmake-vscode

  STM32, VSCode and CMake detailed tutorial

  Language:C56957

• bangle-io/bangle-io

  A web only WYSIWYG note taking app that saves notes locally in markdown format.

  Language:TypeScript1.1k69

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k254

• cs-MohamedAyman/Problem-Solving-Training

  Problem Solving Training for computer science students.

  1.2k281

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.7k1.8k

• Sroy20/machine-learning-interview-questions

  This repository is to prepare for Machine Learning interviews.

  1.5k392