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An Introduction to Statistical Learning with Applications in R

Abstract

written by Trevor Hastie & Robert Tibshirani

Date
Location
Bailab 718 DreamStudio

In this workshop, we will demystify how R Markdown works under the hood. You will learn practical tools and workflows to increase your efficiency and productivity using R Markdown (including RStudio IDE features and templates), while learning how to use some extension packages along the way. We assume that you have knit an R Markdown document before, but you don’t need to be an advanced R Markdown user to take this workshop.

Avatar
Tank (Xiao-Ning Zhang)
PhD Student @ Data Miner & Coder

I’m a PhD Student majoring in Bioinformatics and Biostatistics who loves computer programming such as C(++), Java, Python and R.