This workshop is organized by "Orlando Machine Learning and Data Science Meetup". (Planned to happen on 2019-02-23 at 15:00.)
The goals of this workshop are to introduce the theoretical background of Quantile Regression (QR), to demonstrate QR's practical (and superior) abilities to deal with "real life" time series data, and to teach how to rapidly create QR workflows using Mathematica or R.
The workshop has a dedicated GitHub project; see:
Here is an example workflow with an R pipeline:
devtools::install_github("antononcube/QRMon-R") library(QRMon) qrmon <- QRMonUnit( dfTemperatureData ) %>% QRMonEchoDataSummary() %>% QRMonQuantileRegression( df = 16, degree = 3, quantiles = seq(0.1,0.9,0.2) ) %>% QRMonPlot( datePlotQ = TRUE, dateOrigin = "1900-01-01" )