SHAP with Python
About Course
Learn to use SHAP to interpret machine learning models.
Course Curriculum
Introduction
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Course outline
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Code and requirements
00:00
Theory
Python Code
Additional Resources
Student Ratings & Reviews
The most amazing one—deep intuition fused with technical mastery!
Thank you very much for this course, it provided a general knowledge about SHAP analysis and the codes & examples were really useful.
I'll definitely try to perform an analysis by myself. Thanks again!
I'll definitely try to perform an analysis by myself. Thanks again!
Thank you so much!
It's a fantastic course in Shap!
Very intuitive and well explained!
I'm really enjoying learning about SHAP.
One of the best courses on SHAP on the web! It has helped me understand the subject. Thank you very much!
One of the best courses on SHAP on the web! It has helped me understand the subject. Thank you very much!
Explainations were good. Solutions for challenges would have been helpful
Great course!!
Great course for SHAP!
Before the course:
What are these coloured bars and how on earth do I interpret them
After the course:
Ahhhhhhhhhh! Finally... And it's not even that complicated ("game theory": they're just trying to scare you)
What are these coloured bars and how on earth do I interpret them
After the course:
Ahhhhhhhhhh! Finally... And it's not even that complicated ("game theory": they're just trying to scare you)
Useful course!
Excellent !
Great explanation for SHAP / XAI. Thank you.
Very informative, thank you!
A very useful course if you are interested in XAI
A very useful course if you are interested in XAI
This course is really helpful to understand What Shap is and How helpful it can be in determining features that contribute in the prediction.
The course is short, simple and sorted. Well structured. Kudos to the Course Designer!
The course is short, simple and sorted. Well structured. Kudos to the Course Designer!
Great!
Easy step by step explanation. highly recommended!
Very good explanation! It really helpful to understand.
