ayhampar

ayhampar's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.4k1.9k1439.1k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.3k2.1k11.3k25.4k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.7k2.4k010.6k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k1.8k19418k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.7k1.2k736k

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20.7k604555.2k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  18.2k414562.5k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.7k715274k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.3k4787702.5k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.5k385151.3k

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k22671.4k

• louisfb01/start-machine-learning

  A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  4.5k1566580

• loveunk/Deep-learning-books

  Books for machine learning, deep learning, math, NLP, CV, RL, etc

  3.3k

• afshinea/stanford-cs-221-artificial-intelligence

  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

  2.6k841508

• weijie-chen/Linear-Algebra-With-Python

  Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

  Language:Jupyter Notebook2.3k801572

• udacity/ud120-projects

  Starter project code for students taking Udacity ud120

  Language:DIGITAL Command Language1.6k2461445.7k

• udacity/DSND_Term2

  Contains files related to content and project of DSND Term 2

  Language:Jupyter Notebook1.1k68161.7k

• thomas-haslwanter/statsintro_python

  Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

  Language:HTML865714572

• kobra-dev/Kobra

  Kobra is a visual programming language (like Scratch) for Machine Learning

  Language:TypeScript26734919

• vopani/datatableton

  100 exercises to learn Python Datatable

  Language:Jupyter Notebook2678638

• HeshamAsem/NLP

  Language:Jupyter Notebook10660127

• solliancenet/udacity-intro-to-ml-labs

  Language:Jupyter Notebook8119587

• PacktPublishing/Mastering-Microsoft-Power-BI

  Mastering Microsoft Power BI, published By Packt

  Language:TSQL438030

• BlueGranite/AI-in-a-Day

  AI features in Power BI

  2411024

• Kareem-negm/stanford-cs-229-machine-learning-master

  246014

• KunalDuran/Python-projects-

  My projects

  Language:Jupyter Notebook143015

• shantanugoel/ud120-projects-python3

  Python 3 port for Udacity ud120 course

  Language:DIGITAL Command Language114011

• alioh/ds-100-ar

  Arabic Translation of Data 100 Textbook at UC Berkeley http://www.textbook.ds100.org/

  Language:HTML10202

• clareyan/feasturescaling

  Language:Jupyter Notebook33