1.microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
- machinelearning
- python
- +6 more
Ranked by Attention Score: stars gained over the last 180 complete days
54 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This is a repo with links to everything you'd ever want to learn about data engineering
Anthropic's Interactive Prompt Engineering Tutorial
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Learn ML engineering for free in 4 months! Register here 👇🏼
Companion webpage to the book "Mathematics For Machine Learning"
Your new Mentor for Data Science E-Learning.
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
💿 Free software that works great, and also happens to be open-source Python.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Natural Language Processing Tutorial for Deep Learning Researchers
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The "Python Machine Learning (1st edition)" book code repository and info resource
Toturials coming with the "data science roadmap" picture.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials and programming exercises for learning Q# and quantum computing
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Algorithms for outlier, adversarial and drift detection
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Simple tutorials using Google's TensorFlow Framework
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
TensorFlow Tutorials with YouTube Videos
:satellite: Simple and ready-to-use tutorials for TensorFlow
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
CatBoost tutorials repository
Mostly experiments based on "Advances in financial machine learning" book
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tutorials and training material for the H2O Machine Learning Platform
Use evolutionary algorithms instead of gridsearch in scikit-learn
open source E-book on statistical physics
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano