SHAP values for beginners | What they mean and their applications

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SHAP is the most powerful Python package for understanding and debugging your machine-learning models. We learn to interpret SHAP values for both continuous and binary target variables. We also explore the applications of SHAP. This includes debugging models, providing human-friendly
explanations and data exploration.

NOTE: SHAP course is no longer free but you will still get the XAI course for free :)

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NOTE: SHAP course is no longer free but you will still get the XAI course for free :)

adataodyssey
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Hey Amazing explanation, I wanted to know more about the interpretation of SHAP Summary plot in terms of Survial Analysis

aakritiiacharya
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Love to see a fellow South African in this line of work!

fouried
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This is a very clear video about shap!!

lakshman
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Excellent explanation, just what I needed. Thank you.

innocentjoseph
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Very well explained! I have a question regarding SHAP dependency plots. On the right-Y axis, SHAP selects a particular interacting feature by default and I know we can manually change the interacting feature. Does the default selection by SHAP explainer tell us that that particular feature is the feature that interacts with the main feature the MOST as compared to other features? In other words, can we say that the main feature depends on (or interact with) the default interacting feature while making predictions?

hasnainayub
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Does it have to be about prediction?
I just want to understand which features/independent variables are most important when my independent variables are highly correlated. I've heard people talking about "contribution".

statistikochspss-hjalpen
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Shap means something a little different in South Africa. Love the content though👍🏼

keenanosullivan
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Can you make a video on how recruitment decision is made?

shubhanshisinghms
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Hello. Thanks for the tutorial. Regarding your XAI and SHAP courses, is there an order to how we should take the courses. Should we take the XAI before SHAP or vice versa. Thanks

youtubeuser
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If I have one hot encoded on the categorical values, How should I know which main features are contributing ?

nfzoytj
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Can this method be applied in multilabel classification?

teguhprasetyo
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How can we determine which interpretable models are appropriate for our deep learning models? For example, I have a CNN model for Malaria prediction, however, I am unsure whether LIME or SHAP is a better tool for interpreting my model. Could you please guide me through this situation?

mahdihabibi
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I want to be able to understand how the features affect the predictions along a 2D curve where the points are sequential, but it seems SHAP is only useful when there’s a single prediction not a curve :(

keivansamani
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Can shap value used for feature selection?

weii
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Jumping between what you are explaining and yourself is distracting

fupopanda