Stars
Generative AI Foundations in Python, published by Packt
Pyspark RDD, DataFrame and Dataset Examples in Python language
Mastering Big Data Analytics with PySpark, Published by Packt
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The masterclass "Large Language Models for Data Science" explains what LLMs are, what they can and cannot do, and what they can be used for.
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
Extremely fast Query Engine for DataFrames, written in Rust
Hands-On Ensemble Learning with Python, published by packt publishing
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
SQL scripts that demonstrate various features and concepts.
screenshots leetcode editorials and problems
21 Lessons, Get Started Building with Generative AI
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
10 Weeks, 20 Lessons, Data Science for All!
Your new Mentor for Data Science E-Learning.
Python Data Science Handbook: full text in Jupyter Notebooks
Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
Practice your pandas skills!
100 Days of Code: The Complete Python Pro Bootcamp
My solutions to the Preppin' Data challenges
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.