Partial Dependence Plots in Machine Learning Explainability - Day 17 of Kaggle's 30 Days of ML

Partial Dependence Plots in Machine Learning Explainability - Day 17 of Kaggle's 30 Days of ML

Explore Partial Dependence Plots (PDPs) in this 28-minute video tutorial from the Kaggle 30 Days of ML Challenge. Dive into the world of interpretable machine learning and explainable AI (XAI) by learning what PDPs are, how they differ from feature importance, and when to use them. Discover how to visualize decision tree plots and build PDPs using PDPBox. Gain insights on interpreting PDPs in business language and explore 2D Partial Dependence Plots. Follow along with the provided Kaggle tutorial and exercise to enhance your understanding of this powerful tool for machine learning explainability.