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🦜🔗 Build context-aware reasoning applications
Apache Superset is a Data Visualization and Data Exploration Platform
Python Data Science Handbook: full text in Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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 filte…
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Practice your pandas skills!
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Image restoration with neural networks but without learning.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Recipes for using Python's pandas library
A scikit-learn compatible neural network library that wraps PyTorch
Technical Analysis Library using Pandas and Numpy
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Materials for my scikit-learn tutorial
fklearn: Functional Machine Learning
[RETIRED] See Voilà as a supported replacement
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
General Assembly's Data Science course in Washington, DC
Learning numerical computing with notebooks for all ages.
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
A set of notebooks for an introduction to Python for Mathematicians.
An IPython notebook plugin for visualizing ASTs.
Old source for jakevdp.github.io. New source at http://github.com/jakevdp/jakevdp.github.io-source