Machine Learning with Earth Engine Python and Colab

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Machine Learning with Earth Engine Python and Colab (Size: 348.3 MB)
  1. CART with Landsat Data-en_US.srt 9.8 KB
  1. CART with Landsat Data.mp4 87 MB
  1. Clustering-en_US.srt 11.7 KB
  1. Clustering.mp4 118.5 MB
  1. Google Colab-en_US.srt 4.8 KB
  1. Google Colab.mp4 26 MB
  2. Earth Engine Python API-en_US.srt 3 KB
  2. Earth Engine Python API.mp4 38 MB
  2. Random Forest with Landsat-en_US.srt 6.8 KB
  2. Random Forest with Landsat.mp4 78.9 MB
  Bonus Lecture.html 1.2 KB
  Bonus Resources.txt 307.2 B
  Data and Code.html 204.8 B
  Get Bonus Downloads Here.url 204.8 B

Description


Machine Learning with Earth Engine Python and Colab



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 348 MB | Duration: 39m
What you'll learn
Create training data for supervised classification
Import Landsat data
Remove clouds from satellite data
Run supervised classification algorithm
Calculate accuracy assessment
Download land cover classification

Requirements
This course has no requirements.
Description
Welcome to the Machine Learning with Earth Engine Python and Colab course.

This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply machine learning in python using satellite data. Even if you have zero programming experience, this course will take you from beginner to mastery.

Here's why:

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