Model Explainability

Understand the model interpretability and explainability using LIME and SHAP.

Let's start with a vital question. That is, why should we trust our model?


It's a fact that data science and machine learning have naturally found their way to the biggest business and political stories in a concise timeline. Machine learning or deep learning algorithms built into automation and AI systems lack transparency. Machine learning models are often considered black boxes.

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