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+2## Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN

This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.## The Data Science Industry: Who Does What (Infographic)

This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.r programming

+1## Web Scraping with R and PhantomJS

Short tutorial on scraping Javascript generated data with R using PhantomJS.general

+1## How to Speak Data Science

Data Science has its own language. This is a great list of often-heard data science terminology and quotes by Datacamp.r programming

+1## A data.table R Tutorial: Intro to DT[i, j, by]

The free data.table R tutorial explains the basics and syntax of the data.table package for R. Master the data.table syntax now.r programming

+3## Become A Data Scientist in 8 Steps: Infographic

This DataCamp infographic outlines how you can become a data scientist in 8 steps. This guide is for everyone interested in data science.r programming

+1## The RDocumentation Poster

Rdocumentation.org is the only R documentation and R manuals aggregator that lets you search everything from CRAN, Bioconductor and GitHub.r programming

+2## Decimal Comma or Point? A googleVis visualization

Decimal comma or decimal point? A handy tool to indicate the decimal separator used in each country so you never make a mistake in your sheetr programming

+3## What Is the Best Statistical Programming Language? Infograph

The infograph 'Statistical Language Wars' compares statistical programming language like SAS, R and SPSS to see how they stack up.general

+1## Data Science Cartoons: a Top Seven List by DataCamp

The 7 funniest data science cartoons on the web selected by you. A selection made by DataCamp to celebrate April's fools day.r programming

+1## R posts on Stack Overflow | A Top 5 selection by DataCamp

Stack Overflow is a useful resource for technical questions. At DataCamp we wanted to share our favourite R posts on Stack Overflow.r programming

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