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RJ Studio’s 22nd video covers how to automatically tune parameters using `caret` package in R.
Parameter tuning is an extremely important skill for data scientists!!
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Depending on the problem you want to solve, one parameter combination can turn out to be much more generalizable and powerful than other combinations. It is important that you understand what each parameter is doing too!

By the way, `caret` stands for "Classification And REgression Training"


Link to Decision Trees 4 video:    • #R | Decision Trees 4 | #RStudio #boosting...  
(this video contains how gbm() boosting model performed with arbitrarily chosen parameters, as opposed to tuned parameters)


Check if you model can be tuned by `caret` here: https://topepo.github.io/caret/availa...


I am playing the background music on my Piano. I am playing “Moon River” and “River Flows in You” together because they both have ‘River’ in their titles. ^‿^
Check out my YouTube Piano cover of the song    • Moon River Flows In You 🎹 Moon River x Riv...  


Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)


이번 비디오는 파라미터 튜닝에 대한 비디오 입니다 ≧◡≦
유익한 정보이었길 바랄게요~ 감사합니다.

“In teaching others, we teach ourselves.”

Instagram:   / musicalum_rj