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1
Introduction
2
Data
3
exploratory analysis
4
modeling
5
resampling
6
control resampling
7
interactions
8
conclusion
Description:
Learn to apply logistic regression modeling techniques using tidymodels on #TidyTuesday data about bird baths in Australia. Explore the process of combining model specifications with feature engineering recipes, and master the art of fitting and predicting in this 37-minute screencast. Follow along as Julia Silge guides you through data exploration, modeling, resampling, and working with interactions. Gain practical insights into modeling basics and enhance your data analysis skills using real-world ornithological data.

Fit and Predict With Logistic Regression for Bird Bath Observations in Australia

Julia Silge
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