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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

IPython notebooks from Data School's video tutorials on scikit-learn.

Supports software work with AI-assisted coding, testing or application development.

Supports software work with AI-assisted coding, testing or application development.

IPython notebooks for a complete course around understanding Nervana's Neon.

An API for plotting in Jupyter (IPython).

Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.

Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.

Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.

Collection of Google Colab Notebooks for ML Arts.

Sample code and notebooks for Generative AI on Google Cloud.

Notebooks and code for the book "Introduction to Machine Learning with Python".

Jupyter notebook is a web-based notebook environment for interactive computing.

A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Creates or edits images with generative models and visual controls.

Series of notebooks for learning scikit-learn.

Convert monolithic Jupyter notebooks into maintainable pipelines.

The go-to, no-nonsense, fast and lean job site in AI, ML, Data Science and Big Data.

Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science.

University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.

BS in Data Science & Applications applies AI to data analysis, extraction, visualization, or business intelligence.