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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Tutorials and content created by Earth Engine users, for Earth Engine users
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A SAM-based model for instance segmentation of images of grains
Examples of using the Planetary Computer
Visualizations based on best open science practices.
Using R with Jupyter / RStudio on Binder
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Image segmentations of trees outside forest
Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30)
An R Framework for Climate Data Access and Post-processing
Zero-setup R workshops with GitHub Codespaces
Recopilación de datos de COVID19 por provincias en España
Material for the Python for R Users workshop
This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.
TaxoNERD : recognizing taxonomic entities using deep models
Essential skills for reproducible research computing
Conviertete en un especialista en Google Earth Engine
This project provides an easy R function for translating R Markdown (.rmd) files to Jupyter Notebook (.ipynb) files.
Introduction to geoprocessing data with Python.
Modelling temporal uncertainty in historical/archaeological datasets
Bayesian spatial regression of communities
Instance segmentation of seeds on images
R-suite for altmetrics from citation and CFP data