PinnedPublished inPython in Plain EnglishA Cautionary Tale: Why You Might Want to Calibrate Your GBM ModelsA real-world example of some of the dangers lurking below the surface of a “good” GBM model.5d ago15d ago1
Published inTDS ArchiveHow Reliable Are Your Time Series Forecasts, Really?How cross-validation, visualisation, and statistical hypothesis testing combine to reveal the optimal forecasting horizonApr 5, 20247Apr 5, 20247
Published inPython in Plain EnglishTime series residuals: gold in them thar hillsHow model crumbs provide more insight than you might thinkMar 15, 20241Mar 15, 20241
Published inTDS ArchiveFalse Prophet: Lightning Strikes TwiceInsights from incorporating external weather data into a time series regression inspired by Meta’s ProphetMar 1, 20241Mar 1, 20241
Published inTDS ArchiveHybrid Models for Time Series RegressionUsing multiple model forms to capture and forecast the components of complex time seriesJan 13, 20241Jan 13, 20241
Published inTDS ArchiveFalse 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
Published inTDS ArchiveFalse Prophet: a Homemade Time Series Regression ModelBorrowing ideas from Meta’s Prophet to build a powerful time series regression modelOct 31, 20235Oct 31, 20235
Published inTDS ArchiveFalse 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
Published inPython in Plain EnglishOn Times Series Cross-ValidationMaximising the utility of your time series data with smart subdivision.Jun 26, 2023Jun 26, 2023