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Code Along ↗Feature Engineering for Predicting Hotel Bookings with tidymodels
Learn how to manually engineer features, build and assess a machine learning workflow.
Jorge Zazueta
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The performance of machine learning models isn't just about the type of model you use or the code you write. As any model's performance is a direct consequence of the features it's fed, placing domain knowledge at the center of the process is vital.
In this live training, Jorge Zazueta will teach you how to manually engineer features, build and assess a machine learning workflow and automate feature transformation using recipes. These ideas will help you make your models more efficient, interpretable, and accurate!
What will I learn?