What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

In this ML video, We'll learn about Interpretable Machine Learning which otherwise is known as Machine Learning Explainability and Explainable AI. Along with Python Examples 00:00 Introduction - Outline 01:13 Credits 02:57 What is Interpretable Machine Learning? 04:12 Why is Machine Learning Explainability Required? 12:12 How is IML relevant to me? 16:45 Types of IML 19:40 LIME , Advantages and Disadvantages of LIME with Python Tutorial 30:50 SHAP , Advantages and Disadvantages of SHAP Credits: Christoph Molnar's Free Book - https://christophm.github.io/interpretable-ml-book/