Fit and Predict With Logistic Regression for Bird Bath Observations in Australia
Julia Silge via YouTube
Build GenAI Apps from Scratch — UCSB PaCE Certificate Program
Launch Your Cybersecurity Career in 6 Months
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 50% Off
One plan covers every Professional Certificate on Coursera. 50% off Coursera Plus Annual for 10 days only — price increases June 17.
Unlock All Certificates
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.
Syllabus
Introduction
Data
exploratory analysis
modeling
resampling
control resampling
interactions
conclusion
Taught by
Julia Silge