suneelbvs / ExplainableAI

Strategies to interpret Deep Learning & Machine Learning models/black box; help us to understand how it’s making predictions/decisions.

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Repository for "Practical Case Studies of ExplainableAI(XAi)"

  • In this repo, we will explore and discuss some basic concepts machine learning & deep learning models and strategies to interpret models and their features; as AI/ML models are often black box

  • Using ExplainableAI (XAi)/ML(XMl), we will be able to interpret, validate, understand the models more transparent in fashion rather than simple prediction.

  • In this repo, we have captured some case studies of AI/ML models with XAi/XMl using respective packages.

List of Case Studies:

Requirements:

Installation Steps:

Team:

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Strategies to interpret Deep Learning & Machine Learning models/black box; help us to understand how it’s making predictions/decisions.