Dataset: https://www.kaggle.com/datasets/tekba...
Notebook: https://github.com/iamtekson/geospati...
Full playlist: • Machine Learning for geospatial data
Timestamp:
0:00 Introduction
0:35 Random forest classification theory
3:28 About dataset
4:55 Data preprocessing
13:30 Getting start with Random forest in python
21:22 Visualization of predicted image
#python #machinelearning #randomforest
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Here are some playlists that you might be interested in:
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1. Leaflet from basic to advance: • Leaflet from basic to advance
2. GeoServer with leaflet web-GIS: • GeoServer and Leaflet Web-GIS
3. GeoDjango project: • Bookmark note on map | GeoDjango tuto...
4. geoserver-rest: • geoserver-rest
5. GIS training in Nepali: • Beginner GIS training in Nepali | Arc...
6. LULC map production: • LandUse Land Cover Map production || ...
7. Geospatial analysis with python: • GeoSpatial analysis with python
8. GeoNode from basic to advance: • GeoNode from basic to Advance
9. Machine learning from the basic: • Machine Learning for geospatial data
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Check out my discounted courses at the following link:
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1. "Geospatial data analysis with python": https://www.udemy.com/course/geospati...
2. "Web GIS Development 2021": https://www.udemy.com/course/web-gis-...
3. "Web mapping and Web-GIS from Dev to Deploy 2021: GeoDjango": https://www.udemy.com/course/web-mapp...
4. "Introduction to Web Mapping and Web GIS 2020: GeoDjango": https://www.udemy.com/course/introduc...
5. Deep Learning Application for Earth Observation: https://www.udemy.com/course/deep-lea...
6. Geospatial Data Analysis with Python: https://www.udemy.com/course/geospati...
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Follow me on GitHub: https://github.com/iamtekson
Follow me on Twitter: / iamtekson
Follow me on Instagram: / iamtekson
Join Facebook group: / 1049524025731229
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