InPython in Plain EnglishbyBradley Stephen ShawTime series residuals: gold in them thar hillsHow model crumbs provide more insight than you might thinkMar 15, 20241Mar 15, 20241
InTDS ArchivebyBradley Stephen ShawFalse Prophet: Lightning Strikes TwiceInsights from incorporating external weather data into a time series regression inspired by Meta’s ProphetMar 1, 20241Mar 1, 20241
InTDS ArchivebyBradley Stephen ShawHybrid Models for Time Series RegressionUsing multiple model forms to capture and forecast the components of complex time seriesJan 13, 20241Jan 13, 20241
InTDS ArchivebyBradley Stephen ShawFalse Prophet: Comparing a Regression Model to Meta’s ProphetCan my Frankenstein of a time series regression model — inspired by Prophet — compete with the real deal?Nov 25, 20231Nov 25, 20231
InTDS ArchivebyBradley Stephen ShawFalse Prophet: a Homemade Time Series Regression ModelBorrowing ideas from Meta’s Prophet to build a powerful time series regression modelOct 31, 20235Oct 31, 20235
InTDS ArchivebyBradley Stephen ShawFalse Prophet: Feature Engineering for a Homemade Time Series RegressionBuilding on ideas from Meta’s Prophet package to create powerful features for time series machine learning modelsOct 13, 20232Oct 13, 20232
InPython in Plain EnglishbyBradley Stephen ShawOn Times Series Cross-ValidationMaximising the utility of your time series data with smart subdivision.Jun 26, 2023Jun 26, 2023
InTowards AIbyBradley Stephen ShawLet’s Do: Time Series DecompositionA guide to effectively breaking a time series into its constituent partsJun 17, 20231Jun 17, 20231