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R code tutorial: building & evaluating regression models (tidymodels)
BSTA504 Part 9 - tidymodels/Unsupervised Learning/Logistic Regression
4 Reasons Non-Parametric Bootstrapped Regression (via tidymodels) is Better then Ordinary Regression
Tidymodels Regression
Model Evaluation using TidyModels and TidyPosterior
Tidymodels logistic regression in R (1/3): preprocessing & recipes
Lasso regression with tidymodels and The Office
Get started with tidymodels and classification of penguin data
TidyX Episode 81 | Tidymodels - Logistic Regression with GLM
Machine Learning Using Tidymodels⚙️ - Beginner's Quick-start Guide!!
Hannah Frick - tidymodels for time-to-event data
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Last Updated: September 28, 2026
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In this video, I go over the R for Data Science textbook and review the Many-Models chapter. I quickly go over my ... Full series information: aka.ms/learnlive-machine-learning-r- In this week's video, I show how to tune pre-processing methods for In this R code tutorial we'll explore how to build and evaluate linear Ah okay well my thought is that we actually do some logistic If the assumptions of parametric models can be satisfied, parametric models are the way to go. However, there are often many ... Okay so today we're talking about Learn how to implement lasso regularized Hey everyone and welcome! In this video, you will learn the basics of applying machine learning algorithms to data analysis ... Time-to-event data can show up in a broad variety of contexts: the event may be a customer churning, a machine needing repairs ...