• R Text Mining & Machine Learning Workshop

    Microsoft New England Research and Development Center

    $7.00

    The workshop will primarily cover R's Text Mining package (tm); as well as a couple ML packages. The main parts of the workshop wll include: - converting text into a usable form (a matrix of terms/words and their associated documents) - performing basic analysis (frequencies and creating wordclouds) - applying Classification via a basic Machine Learning algorithm (Bayes) - one of the examples will be analyzing Twitter data (which is covered in the earlier API workshop). Sentiment Analysis will only be touched on briefly as this is more of a specialty topic.

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  • R Application Programming Interfaces (API) Workshop

    Microsoft New England Research and Development Center

    $7.00

    Event will cover: [1] high-level intro where to find API's related to your topic of interest [2] hands-on using R including using the twitteR package to pull Tweets (you will need a Twitter Account and to get an API Key will need to fill out a Twitter Account). [3] using general R code to pull and extract data for any API.

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  • R DataViz Workshop - ggplot2 and Shiny

    Microsoft New England Research and Development Center

    $7.00

    ggplot2 and Shiny will be covered in this workshop. ggplot2 is a very popular graphics library for R given its capability to create informative, custom charts. Shiny is R-Studio's "Interactive" Data Visualization library that has a wide range of options for creating custom interactive graphics that if desired can be published on the web.

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  • R Beginner Workshop

    Microsoft New England Research and Development Center

    $7.00

    The workshop has three main parts: R-Studio, Data Management, and Basic Graphics. [1] We will walk through how to use R-Studio for inputting scripts (multiple lines of code), entering code, installing packages and libraries, running a script, looking at data, visualizing output. [2] For "Data Management" we will be inputting data, manipulating ata using Vectors, DataFrames . We will covering some basic statistics along the way, too. [3] We will finish with Graphics including Histograms, Boxplots, and Scatterplots. II. Pre-Workshop Software Installation So that we can make the best use of our time in class, please setup your laptop beforehand. The instructions below describe installing and testing the items we'll use in the Workshop. If anything here is unclear, please email me or post a note in the comments, and we'll help you fix any issues. You'll have four steps to get your laptop ready: (1) Install R (2) Install RStudio (3) Load the Workshop example file (4) Test the Installation What if I already have this software installed? Definitely upgrade by following the instructions below. RStudio and R have are under very active development, and you'll get the most out of the Workshop if your installation is in sync with the course. (1) Install R Open http://cran.r-project.org/ In the section Download and Install R, choose Windows / Linux / Mac OS X Note for Windows users: You only need the base package for this workshop ("Binaries for base distribution") Note for Mac OS X users: You need only the R binary. (2) Install RStudio Open http://www.rstudio.com/ide/download/desktop Install the appropriate package for your platform Note: Windows users need Administrator privileges to install RStudio (3) Install the Workshop example files Go to http://www.meetup.com/Boston-Predictive-Analytics/files/ and download the file: r-growth (http://files.meetup.com/1676436/r-growth.R) (4) Test Your Installation Click File / Open file open the file r-growth.R In the upper-left RStudio panel, click "Source" You should see a graph in the bottom-right panel. If you saw a graph Growth of R, congrats, everything is working! Please post your experiences with these installation instructions, and we'll make sure things are going smoothly.

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  • R Intermediate Workshop - DataViz with ggplot2 and Shiny

    Microsoft New England Research and Development Center

    $7.00

    ggplot2 and Shiny will be covered in this workshop. ggplot2 is a very popular graphics library for R given its capability to product informative, custom charts. Shiny is R-Studio's "Interactive" Data Visualization library that has a wide range of options for creating custom interactive graphics that if desired can be published on the web.

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  • R Beginner Workshop [please also see data-con.org]

    Microsoft New England Research and Development Center

    $7.00

    see data-con.org to RSVP. The workshop has three main parts: R-Studio, Data Management, and Basic Graphics. We will walk through how to use R-Studio for inputting scripts (multiple lines of code), entering code, installing packages and libraries, running a script, looking at data, visualizing output. For "Data Management" we will be inputting data, manipulating ata using Vectors, DataFrames . We will covering some stats along the way, too. We will finish with Graphics including Histograms, Boxplots, and Scatterplots.

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  • R Beginner Workshop

    Microsoft New England Research and Development Center

    $7.00

    Many thanks to Microsoft NERD for hosting this event (please note you need to bring ID to show at their front desk). A few dollars will go to cover pizza that will arrive about 5:40ish (workshop starts at 6). The room will be setup banquet style (large circular with power strips). Food/drink is allowed in the room. The event description has three parts: I. Schedule II. Pre-Workshop Installation III. Transportation I. Schedule: 05:30 Networking / Pizza / Setup - we will be at MS early to help folks with install issues. 06:00 R Overview 06:15 R-Studio: inputting scripts (multiple lines of code), entering code, installing packages and libraries, running a script, looking at data, visualizing output. 06:30 Data Management: inputting data, manipulating data/text using Vectors, DataFrames -- think Excel Columns (Vectors) and Excel spreadsheet (DataFrame). We will covering some stats along the way, too. 07:30 Break 07:35 Graphics: Barplots, Histograms, Line, Scatterplots; Graph Formatting. If you have ideas of what kind of chart you wish to create using R, then this can be discussed on break, afterwards to help out on this. 08:30 Recap The workshop, which is the 7th time it has been offered, and is designed to get folks up and running using the basics of R. This includes data management and moving real-world data in and out, performing analytics and generating data visualizations using various graphic packages. After completing this hands-on workshop, you'll have a foundation for moving onto more extensive analysis in R. II. Pre-Boot Camp Software Installation So that we can make the best use of our time in class, please setup your laptop beforehand. The instructions below describe installing and testing the items we'll use in the BootCamp. If anything here is tricky, please email me or post a note in the comments, and we'll help you straighten out any issues. You'll have four steps to get your laptop ready: (1) Install R (2) Install RStudio (3) Install the BootCamp example files (4) Test the Installation What if I already have this software installed? Definitely upgrade by following the instructions below. RStudio and R have are under very active development, and you'll get the most out of the BootCamp if your installation is in sync with the course. (1) Install R Open http://cran.r-project.org/mirrors.html Choose one of the USA download mirrors In the section Download and Install R, choose Windows / Linux / Mac OS X Note for Windows users: You only need the base package for this workshop ("Binaries for base distribution") Note for Mac OS X users: You need only the R binary, e.g., R-3.1.0.pkg (latest version) (2) Install RStudio Open http://www.rstudio.com/ide/download/desktop Install the appropriate package for your platform Note: Windows users need Administrator privileges to install RStudio (3) Copy and Paste the BootCamp example files a) Create a new R script: File > New File > R Script b) Copy and Paste the below code into the script area and run. Years <- seq(2001,2014, by=1) NYears <- seq(1,14, by=1) Days <- NYears * 365 Packages <- (120)*exp[masked]*Days) plot(Years, Packages) c) In the upper-left RStudio panel, click "Source" You should see a graph in the bottom-right panel. If you saw a graph on Growth of R Packages, congrats, everything is working! Please post your experiences with these installation instructions, and we'll make sure things are going smoothly. III. Transportation: MBTA: Red line subway stop is nearby. Several buses go into Kendall Square. Parking: *MIT has a few free parking lots - Hayward Street and E51 on Amherst Street. Please use online maps for directions. Information can be found here at the bottom of the page: http://web.mit.edu/facilities/transportation/parking/visitors/public_parking.html *Microsoft has a basement garage parking lot - cost is $10 *Metered parking on Main Street and some MIT streets - if you use this option please make sure you check the street signs and meters to know what time these become free so you do not get a ticket.

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  • R Intermediate Project Night

    Microsoft New England Research and Development Center

    Intermediate Project Night: Join fellow R users to exchange ideas on all things R! Please note, we generally have pizza; however for this event we do not have a sponsor. Also, we hold "R Beginner Bootcamps" for those looking to get started with R. However, this event is for experienced R users to get together and collaborate / help each other on projects.

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  • Intermediate "R" Project Night

    Microsoft New England Research and Development Center

    Intermediate Project Night: Join fellow R users to exchange ideas on all things R! Please note we hold "R Beginner Bootcamps" for those looking to get started with R. However, this event is for experienced R users to get together and collaborate / help each other on projects. A prerequisite is that you have a project!

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  • Boston Data-Con: Invitation to Speak or Sponsor

    Microsoft New England Research and Development Center

    Hi Folks, In September "Boston Data-Con" will be held on the weekend of 9/12-9/14 at Microsoft NERD. The event will include several sessions pertaining to Python, SQL and R. The website for the event is: http://data-con.org/schedule/ If you are interested in sharing your data-analytics-related project with others through a tech talk, then please contact John Verostek via meetup at [masked] or use the website contact form. A talk can be on any topic related to data-analytics and can range from a short 5-min talk, 20-30 minutes, and up to 40-50 minutes. Also, if you have someone in mind who might also like to present, then could you please forward them the above data-con to let them know of this event. Thanks again for your help! Best Regards, John