Stars
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
RegExr is a HTML/JS based tool for creating, testing, and learning about Regular Expressions.
The 3rd edition of course.fast.ai
Build and deploy a machine learning app from scratch 🚀
Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen
andrewwongls / dsc-4-final-project-online-ds-sp-000
Forked from learn-co-students/dsc-4-final-project-online-ds-sp-000In this project, first and foremost to showcase how I would run an end-to-end data science project based on Lending Club dataset and its domain problems. Second, from here with the data insights in…
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Python code for common Machine Learning Algorithms
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
yelpapi is a pure Python implementation of the Yelp Fusion API (aka Yelp v3 API).
A collection of various notebook extensions for Jupyter
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Plotting library for IPython/Jupyter notebooks
An IPython magic extension for printing date and time stamps, version numbers, and hardware information
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Jupyter metapackage for installation and documentation
Core meta for awesome-public-datasets. Contribute new data here!
A topic-centric list of HQ open datasets.
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"