Forecaster: Accessible Time Series Predictions

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Session Description

Time series forecasting has applications across domains and industries, especially healthcare, but the technical expertise required to implement these methods can be a barrier to using these techniques. We've developed a web platform that makes the process of analyzing and plotting data, training forecasting models, and interpreting and viewing results accessible to researchers and clinicians. This presentation will discuss this platform, giving insight into how it was developed and how it can be used with a variety of data.

 

Aaron Mullen

Presented by: 

Aaron Mullen, MS in Data Science 
Software Developer