edieraristizabal Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

analisisgeoespacial

Curso de posgrado de la Facultad de Minas en la Universidad Nacional de Colombia, sede Medellín

appliedtimeseriesanalysiswithpython

awesome-earth-engine-apps

A collection of all public Google Earth Engine Apps.

awesome-gds

A very personal list of web resources focused on Geospatial Data Science.

cartografiageotecnica

Curso de la carrera Ingeniería geológica del Departamento de Geociencias y Medio Ambiente de la Universidad Nacional de Colombia, sede Medellín

courses

Course materials

creating-maps-in-r

Introductory tutorial on graphical display of geographical information in R.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

disasters

https://edieraristizabal.github.io/Disasters/

earthengine_scripts

scripts and snippets for Google Earth Engine

earthsurfaceprocesses

Notebooks for teaching Earth surface processes at Durham University

edieraristizabal.github.io

equipo-ciclo-3

Misión tic ciclo 3

es218

Exploratory Data Analysis in R

example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

fundamentos_python

Recursos del curso de Fundamentos de programación con Python

gds_course

Geographic Data Science, the course

gee-courses

A collection of Jupyter notebooks for GEE Courses

geog371

Web Mapping @ Oregon State University

geog4572

Geovisual Analytics @ Oregon State University

geog5330-fall2017

Geog5330 for Fall 2017

geog571

Advanced Web Mapping @ Oregon State University

geographic-data-science

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.

geomorfologia

Curso de la carrera Ingeniería geológica del Departamento de Geociencias y Medio Ambiente de la Universidad Nacional de Colombia, sede Medellín

geonotebook

A Jupyter notebook extension for geospatial visualization and analysis

geospatialdatascience

Course materials for: Geospatial Data Science

geostatspy_intro_course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

gestion-de-proyectos-back

gestion-de-proyectos-mintic