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This screencast demonstrates feature engineering with text from Austin real-estate listings and uses tidymodels with xgboost to classify homes into price ranges. It covers exploratory visualization, tokenization, model training, tuning, evaluation, and variable importance.
Syllabus
Introduction
Data
Exploratory visualization
Plot Austin
Tokenization
Top Words
Linear models
Model tidy
Model words
Model shape
Data set
Filter by scale
Modeling
Feature Engineering
Running the model
Tuning the model
Tuning the model again
Results
Taught by
Julia Silge