Tidymodels Tutorial 2 Part 1

Summary

Running linear regression model with "stan" engine - for Bayesian analysis. Building a simple linear regression model (engine = lm) with sea urchin data, and using the model to predict value. Which of the Datasaurus Dozen are easier or harder for a random forest model to identify? Learn how to use ... So now that we've specified our model the next A look at estimating credit worthiness using Tune and interpret decision trees for predicting capacity of wind turbines in Canada. the code on my ... to RichardOnData here: youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation= Often when we fit a model, the output doesn't directly tell us a lot about how it will behave. This screencast uses In this video, I go over the R for Data Science textbook and review the Many-Models chapter. I quickly go over my ... Led by Gary Hutson, Head of Machine Learning, Crisp 1st November 2022 Here we will learn how to build a