GitHub / JoaquinAmatRodrigo / skforecast

Time series forecasting with scikit-learn models

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Commit Stats

Commits: 2213
Authors: 10
Mean commits per author: 221.3
Development Distribution Score: 0.673
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Topics: arima, autoregressive-forecasting, backtesting-forecasters, data-science, direct-forecasting, exogenous-predictors, forecasting, lightgbm, machine-learning, multi-series-forecasting, multi-step-forecasting, multiple-time-series-forecasting, probabilistic-forecasting, python, quantile-forecasting, sarimax, scikit-learn, time-series, weighted-time-series-forecasting, xgboost

Funding links: https://github.com/sponsors/JoaquinAmatRodrigo, https://github.com/sponsors/JavierEscobarOrtiz, https://www.buymeacoffee.com/skforecast, https://www.paypal.com/donate/?hosted_button_id=D2JZSWRLTZDL6

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