Data Mining with R workshop

*This seminar/workshop require you to have some basic computer science or statistical and programming understanding.

If you are wondering what is Data Mining and AI is all about, this seminar/workshop is for you.

Aryn Choong will be giving an introduction to Data Mining then followed by R (rattle) workshop session.

6:30pm – Registration
7:00pm – Intro to Data Mining
8:00pm – Short break
8:10pm – Workshop
9:00pm – Adjourn

Important Pre-requisites

Please ensure that you have installed R and R Studio prior to the event.

R and RStudio are separate downloads and installations. R is the underlying statistical computing environment and RStudio is a graphical integrated development environment that makes using R much easier. You need R installed before you install RStudio.

1. Install R version 3.1.2 or higher. Download and install R for Windows or Mac OS X (download the latest R-3.x.x.pkg file for your appropriate version of OS X).
2. Install RStudio. Download and install the latest stable version of RStudio Desktop.

Speaker Profile

Aryn Choong is a Software Engineer and a second year part-time student at National University of Singapore (NUS), studying her Masters Degree in Technology - Knowledge Engineering, which is an AI course.

Aryn is also the Women Who Code Director for Singapore network and is leading an open source, open data project, HealthcareASEAN, of

DataKindSG - a community that bringing together data scientists and nonprofits to tackle challenges in Singapore and beyond.

If you have any questions on Agile and C/C++, you may ask her too. She is a qualified scrum master and an expert in C language.

  • The event description was updated. Diff#244471 2017-05-06 02:02:28
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Thu May 11, 2017
6:30 PM - 9:00 PM MYT
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Venue Address
A-25, Menara Allianz Sentral, 203 Jalan Tun Sambanthan KL Sentral, 50470 Kuala Lumpur Malaysia
Nearest train/monorail station is KL Sentral. It is about 5-10 minutes walk to Menara Allianz Sentral (next to Nu Sentral shopping mall)
#WWCodeKL Women Who Code KL

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