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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Tutorials for creating and using ONNX models
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Examples of matplotlib codes and plots
Implementations of CNNs, RNNs, GANs, etc
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Automated feature engineering in Python with Featuretools
Using pandas for Better (and Worse) Data Science
Deep Learning Study Group
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Introduction to Python for Data Science
Presentation + Jupyter Notebook from PyGotham July 2016
In-class exercises for Deep Learning course at NYC Data Science Academy
A repository of Applied Data Science materials.
Lab resources for Oreilly online Apache MXNet workshop
The cryptocurrency market is as volatile as it's hot right now. This project uses data from the coinmarketcap API for exploring market capitalization of Bitcoin and other cryptocurrencies.
List of all optimizers for decreasing the loss function
A collection of useful Python tutorials for beginners
Curriculum for Data Science 3--Neural Networks and Deep Learning. UNDER CONSTRUCTION
Curriculum for Data Science 1--Databases, Data Analysis, and Visualization. UNDER CONSTRUCTION