A Jupyter notebook collection of from-scratch ML algorithm implementations and interview prep for machine learning engineer roles.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
One has no future if one couldn't teach themself.
Neural Networks: Zero to Hero
Anthropic's Interactive Prompt Engineering Tutorial
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Python Data Science Handbook: full text in Jupyter Notebooks
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Examples and guides for using the OpenAI API
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Repo to accompany my mastering LLM engineering course
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Repo for the Complete Agentic AI Engineering Course
Jupyter notebooks and a video playlist that teach retrieval augmented generation (RAG) step by step, from indexing to generation.
Python training for business analysts and traders
Examples and guides for using the Gemini API
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.
Practice your pandas skills!
The fastai book, published as Jupyter Notebooks
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Understanding Deep Learning - Simon J.D. Prince
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Free course notebooks teaching agent building with LangGraph, from setup through deployment, in modules 0 to 6.
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
A collection of guides and examples for the Gemma open models from Google.
Open-source AI cookbook
📚 Jupyter notebook tutorials for OpenVINO™