Stars
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
An opinionated view of the Tidyverse "dialect" of the R language.
DATAQUEST October's Monthly Challenge
The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since 2015.
Pandas Cookbook Second Edition, published by Packt
R Training Session. Joe Cursio hosts at IIT Stuart School of Business and presents "R from the veRy Beginning". Adam Ginensky presents "Getting data into R". Justin Shea presents "R Motivations"
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Notebooks and code for the book "Introduction to Machine Learning with Python"
List of Data Science Cheatsheets to rule the world
Content for Udacity's Machine Learning curriculum
Text and supporting code for Think Stats, 2nd Edition
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Code samples used on cloud.google.com
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Machine Learning with TensorFlow on Google Cloud Platform
Please see the readme file for more info
ggplot2: elegant graphics for data analysis