LULC Satellite Image Classification Using Machine Learning: Accuracy Assessement Using Scikit-Learn

This video will help you to undestand how to utilize Scikit-Learn and Google Colab for accuracy assessment and confusion matrix tools to validate land use and land cover classification map.
The code examples are available on our GitHub page:
github.com/BEEILAB/LULC-Class...
The dataset can be found in the following link:
github.com/iremozcann/Land-Co...
👍 Subscribe for more tutorials like this: / @beeilabtv
📺 RELATED VIDEOS
- Playlist with all our videos on land use and land cover classification using machine learning:
• LULC Satellite Image C...
Other Social:
📸 Instagram: / beeilab
🌎 Website: mahdianpari.ca/
📱 Twitter: beeilab?lang=en
📝 LinkedIn: / beeilab

[@TomBiensia]

You have a natural talent for storytelling in your videos. Keep up the great work!

[@BEEiLabTV]

Thanks! To see similar videos, please subscribe to our channel!

[@DhruvGaur5336]

Another fantastic video! You always provide quality content.

[@BEEiLabTV]

Thank you! You can subscribe to our channel for content like this!

[@Khalilgholamnia2]

Dear Masoud, Thank you so much for your wonderful teaching. I have found it truly fabulous. I have a question: Is there a specific section in this code to dedicated to generating export classifications? I did not find it in your code. Best regards,

[@BEEiLabTV]

Thanks for your message. This code does not have a section for generating classification maps. We will cover this topic as soon as possible.

[@Khalilgholamnia2]

Thank you for prompt answer, @@BEEiLabTV