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Wednesday, October 20, 2021
Are you a part of the VA SAS Users Group?   If so, join the team via Microsoft Teams on October 20th for a special presentation from Principal Data Scientist, Melodie Rush!    In this meeting, Melody will be covering "Machine Learning in SAS." This presentation answers the questions of What is Machine Learning? And what does SAS offer for Machine Learning? Examples of specific machine learning techniques for both supervised and unsupervised projects. These algorithms include Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks and K-means.   This meeting is organized, held and led by the VASUG team. Click here to join directly or call +1 872-701-0185 with the Conference ID of 783 904 628# on the date of the call.   In the meantime, want to know more about the speaker Melodie?  Melodie works in the Global Customer Success Technical Team at SAS. She received both her B.S. in Statistics and her Masters in Science of Management from North Carolina State University. Before joining SAS, Melodie worked for Research Triangle Institute as a Statistician.  Her responsibilities included implementing national and local surveys of various topics, such as health care, employee benefits, and drug abuse.  As part of her research, she has published work for both the American Statistical Association and the American Public Health Association.  After joining SAS, Melodie has developed presentations and methodology for doing many types of analysis, including data mining, machine learning, forecasting, data exploration and visualization, quality control and marketing.  She has spent the last 20 years helping companies identify and solve problems in each of these analytical areas.
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Just like the name sounds SASPy is a tool for Python users to access and interact with SAS. SASPy is a popular topic on the community with multiple threads and articles. We think it's such a useful tool, we'd like to feature it in the next SAS Community Trivia SAS Bowl event.   NEW this time: Please REGISTER and JOIN the Teams meeting to participate.    SAS Bowl XIV, SASPy is scheduled for Thursday, November 11, 2021, at 4 PM ET.   More on SASPy   SASPy is the key that allows Python developers (who may or may not code in SAS) access to SAS data and analytics capabilities, without having to code in SAS.   Key features of SASPy include:   • generate SAS code supplied Python objects and methods  • convert data between SAS data sets and Pandas data frames  • interface with Jupyter notebooks or interactive and batch Python   To get started with SASPy, visit its home on sassoftware's GitHub page. The repository contains full documentation, usage notes, and many examples.   Resources   Besides the GitHub repository linked above, here are additional, valuable resources to consider (we'll be creating questions from these!). Introducing SASPy: Use Python code to access SAS - It all got kicked off during this Tech Talk at SGF, featuring SAS rockstarts @ChrisHemedinger and @Jared ; could honestly watch these guys discuss the viscosity of slug slime How Do I Use SASPy to Interface with SAS® From My Python Code? - SAS Webinar from @sastpw with a great demo of the SASPy tool Installing SASPy Kernel for Jupyter Notebooks and Jupyter Lab - library article by @OliviaWright on setting SASPy up on a Jupyter Noteboook Putting Airbnb Under the Microscope with SASPy and SAS - insteresting SASPy use case featured in a Free Data Friday (sound familiar?) library article by @ChrisBrooks  SASPy for Modeling - Hands on SAS User blog post by @SophiaRowland demonstrating some powerful SASPy capabilities   SAS Bowl and event details   For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.   On game day, Join the TEAMS meeting to play and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.   Register and Join the game. 'See' you on November 11!
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