GitHub - Nirucoder/EXPLAIN_ML: The core idea is Explainable AI (XAI) — most ML models are "black boxes" (you give input, you get a prediction, but you don't know why). This dashboard makes that transparent by training a model on your own data,showing which features matter most and explaining individual predictions using SHAP values · GitHub

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EXPLAIN_ML

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The core idea is Explainable AI (XAI) — most ML models are "black boxes" (you give input, you get a prediction, but you don't know why). This dashboard makes that transparent by training a model on your own data,showing which features matter most and explaining individual predictions using SHAP values

explainml-m8tjioxm5jrsmiffjfjgtg.streamlit.app/

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Name		Name	Last commit message	Last commit date
.devcontainer		.devcontainer
Datasets		Datasets
.gitignore		.gitignore
README.md		README.md
app.py		app.py
requirements.txt		requirements.txt

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About

The core idea is Explainable AI (XAI) — most ML models are "black boxes" (you give input, you get a prediction, but you don't know why). This dashboard makes that transparent by training a model on your own data,showing which features matter most and explaining individual predictions using SHAP values

explainml-m8tjioxm5jrsmiffjfjgtg.streamlit.app/

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