Partial Dependence Plots for Mario Kart World Records
Offered By: Julia Silge via YouTube
Course Description
Overview
Explore how to use tidymodels to tune a decision tree model for predicting shortcut usage in Mario Kart world records, and learn to analyze partial dependence profiles using DALEX. Walk through the process of data exploration, model setup, metric selection, prediction generation, and tree optimization. Discover techniques for customizing explainers and gain insights into world record times. Follow along with the step-by-step demonstration, from introduction to conclusion, and access the accompanying code on Julia Silge's blog for a comprehensive understanding of the analysis.
Syllabus
Introduction
Data
Exploratory plot
Data setup
Metrics
Predictions
Choose tree
Lastfit
Explainer
Customization
Conclusion
Taught by
Julia Silge
Related Courses
Machine Learning With Big DataUniversity of California, San Diego via Coursera Recolección y exploración de datos
Tecnológico de Monterrey via Coursera Capstone: Create Value from Open Data
ESSEC Business School via Coursera Big Data - Capstone Project
University of California, San Diego via Coursera Análisis de Datos - Proyecto Final
Tecnológico de Monterrey via Coursera