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Partial Dependence Plot Applied to House Pricing Models | View in the Skills Network Catalog

Partial Dependence Plots (PDPs), is a common techniques to interpret machine learning models by visualizing feature impacts on predictions. This lab explores the relationships between features such as rooms, distance, and landsize in the Melbourne Housing dataset, as well as age and fare in the Titanic dataset, translating complex model predictions into clear insights. Data scientists and stakeholders can leverage PDPs to gain a deeper understanding of model behavior, enhancing both technical analysis and informed business decision-making.