79 LEC: Modeling with multiple predictors
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79.3 My Thoughts on Tidy Modeling {tidymodelthoughts}
That's a good distinction -- I think tidyverse is good for data cleaning and onboarding undergrads (my lab is very undergrad heavy); but that tidymodels can die in a fire because they don't report f-tests!!!!
— Prof. Mason Garrison 🌈💫✨ (@SMasonGarrison) April 28, 2021
Underfitting vs Overfitting in Machine Learning.#datascience #machinelearning #coding #programming #python #data #deeplearning #technology #dataanalytics #datascientist #ai #computerscience #tech #developer #analytics #iot #coder #programmerlife #100DaysOfCode #DeepLearning pic.twitter.com/QRZqeHMsCg
— cat (@kitty_attac) December 1, 2021