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fastbook

The fastai book, published as Jupyter Notebooks

feature-selection

feature_engine

Feature engineering package with sklearn like functionality

flask_tdd_docker

Test-Driven Development with Python, Flask, Flask-RESTful, and Docker

gcallah.github.io

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

introduction_to_statistical_learning_summary_python

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

just-pandas-things

An ongoing list of pandas quirks

l2

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

learnanalytics-deeplearning-azure

Learning Materials for Deep Learning on Azure

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

linked-list-good-taste

Linus Torvalds' linked list argument for good taste, explained

live-learning-sessions

This is the repository that contains the material of the live learning sessions of the NYC Data Science Academy Online Bootcamp.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mlbook

mod-1-objects

nn-labs

ny_crime_dashboard

odsc-ml-drum

overleaf

A web-based collaborative LaTeX editor

pandas-workshop-v2

New version of the Pandas + Jupyter workshop

pandas_workshop

pg2dm-python

pipelines-and-transformers

practical-python

Practical Python Programming (course by @dabeaz)

practical-statistics-for-data-scientists

Code repository for O'Reilly book

project-based-learning

Curated list of project-based tutorials