<p>Spring is here! That means this month is all about all things Shiny (if that makes sense)!</p> <p>We have two speakers who are regulars on the R-Ladies Copenhagen circuit, Diana Lucatero and Ivana Hybenova. Special thanks go to Deloitte Risk Advisory for sponsoring this event!</p> <p>Talk 1: Data science- from academia to industry<br/>On this lighting talk, Diana will share her experience deploying advanced analytics in academia &amp; industry with the main focus being the differences in communication &amp; security considerations. The talk will include:<br/>(1) A very introductory sketch of shiny (what it is and why)<br/>(2) A hands on demonstration of how you can build &amp; deploy a simple web app.<br/>(3) A 10 min exploration session of some cool interactive visualizations.<br/>(4) A demonstration on how you can install R packages in a secure manner (it's all about risk, risk!).</p> <p>Diana is a data science consultant in Deloitte Risk Advisory. She has experience with advanced analytics in environmental science &amp; now she is applying her knowledge in the field of risk analytics. In the old days, she was a Matlab junkie, but now she has learned her lesson &amp; joined the shiny-dark-R-side!</p> <p>Talk 2: Using Shiny to troubleshoot machine learning tasks<br/>In this talk, Ivana will show us how to use R Shiny to solve a machine learning task quicker!</p> <p>She has built an app that loads in a cleaned dataset and train several regression models: linear, support vector machine (SVM), random forest for regression, and generalized boosted regression.</p> <p>We will even tune the algorithms from within the app, where Ivana will demonstrate the app and review the code. Even if you have not tried to 'machine-learn' yourself, it is one more reason to join as it will be super easy to perform and understand!</p> <p>Shiny experts: Be aware that this talk is introductory. You're of course welcome to join, you'll have fun anyway!</p> <p>Details:<br/>When: April 11th<br/>Where: Deloitte Horizon<br/>Time: 17:30 - 20:00</p> <p>What to bring: laptop with RStudio installed. We will give you more details soon on which packages you will need in case you would like to code during the session.</p> <p>Snacks, drinks and sandwiches will be provided. See you all soon!</p> <p>Regards,<br/>RLadies CPH<br/>Kristina, Lei, Diana</p>