Lecture 8 - Explainable AI on tabular data using LIME | Colab implementation | Trees + Random forest

This lecture covers using LIME for explainable AI on the Iris dataset, focusing on flower classification based on petal and sepal features. It demonstrates building a Random Forest model, analyzing predictions, and visualizing feature contributions to classifications. The session emphasizes understanding model predictions through LIME's explanations.