A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A collection of various deep learning architectures, models, and tips
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
llama3 implementation one matrix multiplication at a time
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Practice your pandas skills!
- pandas
- jupyter-notebooks
- pandas-tutorial
- python-pandas
Lectures on scientific computing with python, as IPython notebooks.
Instructional notebooks on music information retrieval.
- ipython-notebook
- music-information-retrieval
- python
- machine-learning
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
The repository host gives no description.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.