A data-driven approach to sales forecasting, that uses exogenous temporal and weather encodings.
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Updated
Nov 2, 2020 - HTML
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exogenous-factors
Here are 3 public repositories matching this topic...
Autoregressive (AR) models with advanced techniques: model selection, diagnostics, structural breaks, rolling forecasts, Fourier seasonality, exogenous variables, business cycle analysis, and benchmarking for economic time series.
benchmark time-series model-selection econometrics diagnostics fourier-series ar-model seasonality rolling-forecast business-cycle statmodels exogenous-factors autoregressive-models structural-breaks
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Jan 20, 2026 - Jupyter Notebook
An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
numpy exploratory-data-analysis pandas acf time-series-analysis arima-forecasting exogenous-factors prophet-facebook-model pacf-autocorrelation sarimax-model
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Updated
Dec 24, 2024 - Jupyter Notebook
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