Learn to use libraries such as LIME, SHAP and others to determine the workings of black-box machine learning models with examples and illustrations, ensuring that they are safe, fair and have less bias — Artificial intelligence and machine learning models have garnered significant attention due to their incredible capabilities in generating texts, predicting sentiments, and making accurate forecasts. However, a growing focus within this field is on developing explainable and interpretable models.