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种子名称： [ CourseBoat.com ] Udemy - Geospatial APIs For Data Science Applications In Python
文件类型： 视频
文件数目： 70个文件
文件大小： 2.96 GB
收录时间： 2024-1-7 20:59
已经下载： 3次
资源热度： 45
最近下载： 2024-5-3 16:41

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[ CourseBoat.com ] Udemy - Geospatial APIs For Data Science Applications In Python.torrent

~Get Your Files Here !/1. Welcome to the Course/1. What Is This Course About.mp425.82MB

~Get Your Files Here !/1. Welcome to the Course/3. Python Installation.mp439.3MB

~Get Your Files Here !/1. Welcome to the Course/4. What Is Google CoLab.mp436.72MB

~Get Your Files Here !/1. Welcome to the Course/5. Google Colabs and GPU.mp427.62MB

~Get Your Files Here !/1. Welcome to the Course/6. Google Colab Packages.mp426.47MB

~Get Your Files Here !/1. Welcome to the Course/7. Introduction To Basic Spatial Data Concepts.mp4101.74MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/1. What Are APIs.mp430.72MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/10. Retrieve the Venues Corresponding To Mumbai's Neighbourhoods.mp453.42MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/2. Singapore MRT.mp428.9MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/3. Basic Geocoding.mp421.27MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/4. Geocode A Dataframe of Cities.mp420.53MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/5. Introduction To The Foursquare API.mp444.46MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/6. Get Started With the Foursquare API.mp424.9MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/7. Obtain Venues and Their Details Around a Particular Location.mp434.13MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/8. Visualise the Foursquare Venues.mp4115.92MB

~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/9. Retrieve Venues On the Basis of Lat Long Coordinates.mp435.66MB

~Get Your Files Here !/3. Other Source of Geospatial Data/1. Access Open Street Data.mp441.55MB

~Get Your Files Here !/3. Other Source of Geospatial Data/2. Obtain World Bank Data.mp452.62MB

~Get Your Files Here !/4. Introduction To Google Earth Engine (GE)/1. What is GEE.mp436.19MB

~Get Your Files Here !/4. Introduction To Google Earth Engine (GE)/2. Sign Up For GEE.mp432.67MB

~Get Your Files Here !/4. Introduction To Google Earth Engine (GE)/3. Datasets Within GEE.mp4100.16MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/1. Accessing GEE API Within Python.mp44.63MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/10. Upload External Data On GEE.mp449.82MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/2. Introduction To Geemap.mp446.12MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/3. Start Exploring Feature Collections.mp433.24MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/4. Filter and Visualise Shapefiles.mp457.13MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/5. Identify the Biggest Country.mp419.83MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/6. Filter Based on Numerical Attributes.mp448.65MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/7. Grouping Feature Collections By Attributes.mp436.55MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/8. Create a GeoJSON Bounding Box.mp427.76MB

~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/9. Clip Image To Shapefile Extent.mp429.83MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/1. Access Image Collections Within Google Colab.mp415.94MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/10. Why Do We Need Radar Data.mp430.61MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/11. Obtaining Sentinel-1 Data From GEE.mp431.7MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/12. Visualise Sentinel-1 Data.mp429.69MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/13. Obtain Time Series Landsat Data From GEE.mp452.18MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/2. See Images Side By Side.mp444.99MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/3. Topographic Computations.mp413.89MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/4. Clip Image Collection To Shapefile Extent.mp439.51MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/5. Improve Your Clipped Image.mp421.28MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/6. Time Series Visualization.mp432.24MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/7. What Are Multispectral Data.mp445.09MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/8. Using Multispectral Data Case of Tonle Sap.mp427.96MB

~Get Your Files Here !/6. Working With GEE's Imagery Data/9. Flood Mapping.mp436.47MB

~Get Your Files Here !/7. Getting a Sense of Our Data/1. What Are Pandas.mp469.66MB

~Get Your Files Here !/7. Getting a Sense of Our Data/2. Principles of Data Visualisation.mp494.15MB

~Get Your Files Here !/7. Getting a Sense of Our Data/3. Some Theoretical Principles Behind Data Visualisation.mp471.62MB

~Get Your Files Here !/7. Getting a Sense of Our Data/4. Visualise Time Series Geospatial Data With Pandas.mp411.2MB

~Get Your Files Here !/7. Getting a Sense of Our Data/5. Where Are Singapore's MRT Stations Located.mp458.74MB

~Get Your Files Here !/7. Getting a Sense of Our Data/6. Let's Colour Code These Stations-Part 1.mp438.89MB

~Get Your Files Here !/7. Getting a Sense of Our Data/7. Let's Colour Code These Stations- Part 2.mp438.96MB

~Get Your Files Here !/8. Machine Learning/1. What is Machine Learning (ML).mp4108.53MB

~Get Your Files Here !/8. Machine Learning/10. How Good Are My Results.mp418.28MB

~Get Your Files Here !/8. Machine Learning/11. Accuracy.mp458.05MB

~Get Your Files Here !/8. Machine Learning/12. Spectral Unmixing.mp445.63MB

~Get Your Files Here !/8. Machine Learning/13. Supervised Classification With Geolocations Introduction (Part 1).mp436.97MB

~Get Your Files Here !/8. Machine Learning/14. Supervised Classification Geolocation Training Data.mp458.82MB

~Get Your Files Here !/8. Machine Learning/15. Classify The Image.mp448.01MB

~Get Your Files Here !/8. Machine Learning/16. Combine EO Data From Different Sensors-Problem.mp437.77MB

~Get Your Files Here !/8. Machine Learning/17. Supervised Classification Sentinel-1 and Sentinel-2.mp442.6MB

~Get Your Files Here !/8. Machine Learning/18. Supervised Classification Sentinel VIs.mp437.87MB

~Get Your Files Here !/8. Machine Learning/19. Visualise the Classification results.mp437.88MB

~Get Your Files Here !/8. Machine Learning/2. Training Data.mp458.62MB

~Get Your Files Here !/8. Machine Learning/3. Unsupervised LearningTheory.mp428.42MB

~Get Your Files Here !/8. Machine Learning/4. k-means.mp418.19MB

~Get Your Files Here !/8. Machine Learning/5. Clustering Landcovers in Cambodia-Part1.mp476.42MB

~Get Your Files Here !/8. Machine Learning/6. Clustering Landcovers in Cambodia-Part 2.mp455.78MB

~Get Your Files Here !/8. Machine Learning/7. Supervised Classification.mp469.71MB

~Get Your Files Here !/8. Machine Learning/8. Random Forest.mp428.92MB

~Get Your Files Here !/8. Machine Learning/9. Basic Supervised Classification With MODIS For Training Samples.mp477.02MB