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Issue 13: Build an Explainable ML Pipeline #19

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ajaykr2712 opened this issue Dec 27, 2024 · 0 comments

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ajaykr2712 commented Dec 27, 2024 •

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Integrate explainability tools into an ML pipeline. The implementation should:
Train a model on a dataset
Use tools like SHAP or LIME to explain feature contributions
Visualize feature importance
Deliverables:
Python script for an explainable ML pipeline.
Visualization of feature importance for a sample model.

ajaykr2712 self-assigned this

ajaykr2712 added the enhancement label

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