Machine Learning with Earth Engine Python and Colab

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[ FreeCourseWeb.com ] Udemy - Machine Learning with Earth Engine Python and Colab
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Earth Engine Python API
    • 1. Google Colab-en_US.srt (4.8 KB)
    • 1. Google Colab.mp4 (26.0 MB)
    • 2. Earth Engine Python API-en_US.srt (3.0 KB)
    • 2. Earth Engine Python API.mp4 (38.0 MB)
    2. Data and Code
    • Data and Code.html (0.2 KB)
    3. Unsupervised Classification Clustering
    • 1. Clustering-en_US.srt (11.7 KB)
    • 1. Clustering.mp4 (118.5 MB)
    4. Supervised Classification with Landsat
    • 1. CART with Landsat Data-en_US.srt (9.8 KB)
    • 1. CART with Landsat Data.mp4 (87.0 MB)
    • 2. Random Forest with Landsat-en_US.srt (6.8 KB)
    • 2. Random Forest with Landsat.mp4 (78.9 MB)
    5. Bonus Lecture
    • Bonus Lecture.html (1.2 KB)
    • Bonus Resources.txt (0.3 KB)

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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Machine Learning with Earth Engine Python and Colab

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348.3 MB
seeders:8
leechers:5
Machine Learning with Earth Engine Python and Colab

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