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Create a Custom Metric with Tidymodels and NYC Airbnb Prices

Julia Silge via YouTube

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This screencast demonstrates predicting NYC Airbnb prices with tidymodels, focusing on custom RMSLE evaluation and combining structured predictors with listing-name text in a bagged tree model.

Syllabus

Introduction
Data Visualization
New York City
Build a model
Run the model
Add a dollar
Transparent
Points
Scale
Predicted price
RMSEvec function
Truth and estimate
Generic RMSLE
Metric summarizer
Metric name
Data truth
Using lang
Creating a metric set
Changing the price
Real price scale
Average percent error
Moment of truth
Sliced results
Summary

Taught by

Julia Silge

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