| 1. Access Image Collections Within Google Colab.mp4 | 15.9 MB | ||
| 1. Access Open Street Data.mp4 | 41.6 MB | ||
| 1. Accessing GEE API Within Python.mp4 | 4.6 MB | ||
| 1. What Are APIs.mp4 | 30.7 MB | ||
| 1. What Are Pandas.mp4 | 69.7 MB | ||
| 1. What Is This Course About.mp4 | 25.8 MB | ||
| 1. What is GEE.mp4 | 36.2 MB | ||
| 1. What is Machine Learning (ML).mp4 | 108.5 MB | ||
| 10. How Good Are My Results.mp4 | 18.3 MB | ||
| 10. Retrieve the Venues Corresponding To Mumbai's Neighbourhoods.mp4 | 53.4 MB | ||
| 10. Upload External Data On GEE.mp4 | 49.8 MB | ||
| 10. Why Do We Need Radar Data.mp4 | 30.6 MB | ||
| 11. Accuracy.mp4 | 58.1 MB | ||
| 11. Obtaining Sentinel-1 Data From GEE.mp4 | 31.7 MB | ||
| 12. Spectral Unmixing.mp4 | 45.6 MB | ||
| 12. Visualise Sentinel-1 Data.mp4 | 29.7 MB | ||
| 13. Obtain Time Series Landsat Data From GEE.mp4 | 52.2 MB | ||
| 13. Supervised Classification With Geolocations Introduction (Part 1).mp4 | 37 MB | ||
| 14. Supervised Classification Geolocation Training Data.mp4 | 58.8 MB | ||
| 15. Classify The Image.mp4 | 48 MB | ||
| 16. Combine EO Data From Different Sensors-Problem.mp4 | 37.8 MB | ||
| 17. Supervised Classification Sentinel-1 and Sentinel-2.mp4 | 42.6 MB | ||
| 18. Supervised Classification Sentinel VIs.mp4 | 37.9 MB | ||
| 19. Visualise the Classification results.mp4 | 37.9 MB | ||
| 2. Data and Code.html | 204.8 B | ||
| 2. Introduction To Geemap.mp4 | 46.1 MB | ||
| 2. Obtain World Bank Data.mp4 | 52.6 MB | ||
| 2. Principles of Data Visualisation.mp4 | 94.2 MB | ||
| 2. See Images Side By Side.mp4 | 45 MB | ||
| 2. Sign Up For GEE.mp4 | 32.7 MB | ||
| 2. Singapore MRT.mp4 | 28.9 MB | ||
| 2. Training Data.mp4 | 58.6 MB | ||
| 3. Basic Geocoding.mp4 | 21.3 MB | ||
| 3. Datasets Within GEE.mp4 | 100.2 MB | ||
| 3. Python Installation.mp4 | 39.3 MB | ||
| 3. Some Theoretical Principles Behind Data Visualisation.mp4 | 71.6 MB | ||
| 3. Start Exploring Feature Collections.mp4 | 33.2 MB | ||
| 3. Topographic Computations.mp4 | 13.9 MB | ||
| 3. Unsupervised LearningTheory.mp4 | 28.4 MB | ||
| 4. Clip Image Collection To Shapefile Extent.mp4 | 39.5 MB | ||
| 4. Filter and Visualise Shapefiles.mp4 | 57.1 MB | ||
| 4. Geocode A Dataframe of Cities.mp4 | 20.5 MB | ||
| 4. Visualise Time Series Geospatial Data With Pandas.mp4 | 11.2 MB | ||
| 4. What Is Google CoLab.mp4 | 36.7 MB | ||
| 4. k-means.mp4 | 18.2 MB | ||
| 5. Clustering Landcovers in Cambodia-Part1.mp4 | 76.4 MB | ||
| 5. Google Colabs and GPU.mp4 | 27.6 MB | ||
| 5. Identify the Biggest Country.mp4 | 19.8 MB | ||
| 5. Improve Your Clipped Image.mp4 | 21.3 MB | ||
| 5. Introduction To The Foursquare API.mp4 | 44.5 MB | ||
| 5. Where Are Singapore's MRT Stations Located.mp4 | 58.7 MB | ||
| 6. Clustering Landcovers in Cambodia-Part 2.mp4 | 55.8 MB | ||
| 6. Filter Based on Numerical Attributes.mp4 | 48.7 MB | ||
| 6. Get Started With the Foursquare API.mp4 | 24.9 MB | ||
| 6. Google Colab Packages.mp4 | 26.5 MB | ||
| 6. Let's Colour Code These Stations-Part 1.mp4 | 38.9 MB | ||
| 6. Time Series Visualization.mp4 | 32.2 MB | ||
| 7. Grouping Feature Collections By Attributes.mp4 | 36.6 MB | ||
| 7. Introduction To Basic Spatial Data Concepts.mp4 | 101.7 MB | ||
| 7. Let's Colour Code These Stations- Part 2.mp4 | 39 MB | ||
| 7. Obtain Venues and Their Details Around a Particular Location.mp4 | 34.1 MB | ||
| 7. Supervised Classification.mp4 | 69.7 MB | ||
| 7. What Are Multispectral Data.mp4 | 45.1 MB | ||
| 8. Create a GeoJSON Bounding Box.mp4 | 27.8 MB | ||
| 8. Random Forest.mp4 | 28.9 MB | ||
| 8. Using Multispectral Data Case of Tonle Sap.mp4 | 28 MB | ||
| 8. Visualise the Foursquare Venues.mp4 | 115.9 MB | ||
| 9. Basic Supervised Classification With MODIS For Training Samples.mp4 | 77 MB | ||
| 9. Clip Image To Shapefile Extent.mp4 | 29.8 MB | ||
| 9. Flood Mapping.mp4 | 36.5 MB | ||
| 9. Retrieve Venues On the Basis of Lat Long Coordinates.mp4 | 35.7 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 73 total files | |||
Geospatial APIs For Data Science Applications In Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 71 lectures (5h 33m) | Size: 2.84 GB
Deploy Application Programming Interfaces (APIs) For Obtaining Geospatial Data and Carry Out Data Science Based Analysis
What you'll learn:
Learn how to work with online Jupyter notebooks through
Gain robust grounding in working with geospatial APIs using Python
Apply data science methods on geospatial data
Deploy the Google Earth Engine (GEE) API within the Python ecosystem
Use GEE's datasets for visualisation and geospatial analysis
Requirements
Prior exposure to geospatial concepts
Prior knowledge of Python programming concepts
Desire to use geospatial APIs for data science applications
Description
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT OBTAINING AND WORKING WITH WITH FREE GEOSPATIAL DATA OBTAINED VIA APPLICATION PROGRAMMING INTERFACES (APIs) USING DATA SCIENCE TECHNIQUES.
Are you currently enrolled in any of my GIS and remote sensing related courses?
https://CourseBoat.com
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 718.7 MB | freecoursewb | 4 months | 7 | 10 | |
| 3.2 GB | freecoursewb | 9 months | 0 | 0 | |
| 413.5 MB | SunRiseZone | 1 year | 4 | 1 | |
| 413.4 MB | SunRiseZone | 1 year | 28 | 25 | |
| 1 GB | freecoursewb | 2 years | 0 | 0 |
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