If you are interested in referencing the slides used for our talk on data visualization today, or want to get more info on how to create interactive graphs in R, check out the following links!
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We are excited to announce we have partnered with GRiD member Gabriel Andrade and his team to present a series of talks regarding their ongoing project “Recurrent Systems for Agent Decision Making and EMG-based Motor Control”. At a high level, this project involves designing a robotic agent capable of processing both biological and environmental stimuli to perform some task at the optimal time, involving computer vision, signal processing, time series analysis, and more.
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In this post, we will go over some general tips on how to approach analyzing a new dataset, which we can apply to the HR Analytics dataset hosted on Kaggle.com
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In this post, we present documents from UGRiD officers Ryan and Jagath that are meant to be an entry into performing data analysis in both Python and R. Check out Jagath’s R script using Titanic data here and Ryan’s exploration of videogame sales in Python here. we will be posting more material aimed at beginners in the coming weeks, so stay tuned for that!
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Download the slides for our “Intro to Data Science” presentation at our github here.
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