Label Studio is a multi-type data labeling and annotation tool with standardized output format

Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation

Data for airport and checkpoint level passenger flows as provided by the TSA

Databricks Scala Coding Style Guide

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

Machine Learning Problem Bible | Problem Set Here >>

Urban Informatics and Visualization (UC Berkeley CP255)

Multiple Fill, Color and Other Scales in `ggplot2`

Course Materials

An open source multi-modal trip planner

An R package to set up and use OpenTripPlanner (OTP) as a local or remote multimodal trip planner.

A pathtracer for R. Build and render complex scenes and 3D data visualizations directly from R

Sustainable transport planning with R

Open Source Routing Machine - C++ backend

Simple Features for R

Tidy manipulation of spatial data

Tutorial of importing, loading and analysing Open Street Map data with R and QGIS

Spatial Data Science: With Applications in R (source files)

Azavea Data Analytics team template for Data Science projects

Practical Python Programming (course by @dabeaz)

Your new Mentor for Data Science E-Learning.

Official repo for the #tidytuesday project

Course materials for MUSA 620 in Fall 2019

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A curated list of awesome Machine Learning frameworks, libraries and software.

An open source library and framework for deep learning on satellite and aerial imagery.