Explainable AI with Python

Dive into the realm of Explainable AI (XAI) with Python and gain insights into making AI models more interpretable and transparent. Explore various techniques and methodologies to understand, interpret, and explain complex machine learning models. Learn to use libraries like LIME, SHAP, and techniques such as feature importance, model-agnostic explanations, and surrogate models. Join us to master the implementation of Explainable AI in Python and foster trust in AI decision-making.The course covers various case studies to emphasize the importance of explainable techniques in critical application domains.