LukeSantossz

LukeSantossz/weather-forecast

End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly detection on 133K+ observations

4 good first / help-wanted issues · Jupyter Notebook · last activity Jul 3, 2026

anomaly-detection arima data-science forecasting lightgbm machine-learning prophet python time-series weather
4 Open Issues Need Help Last updated: Jul 3, 2026

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good first issue phase-0-hygiene tooling
LukeSantossz/weather-forecast
0

End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly detection on 133K+ observations

Jupyter Notebook
#anomaly-detection#arima#data-science#forecasting#lightgbm#machine-learning#prophet#python#time-series#weather
documentation good first issue phase-0-hygiene
LukeSantossz/weather-forecast
0

End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly detection on 133K+ observations

Jupyter Notebook
#anomaly-detection#arima#data-science#forecasting#lightgbm#machine-learning#prophet#python#time-series#weather
bug good first issue phase-0-hygiene
LukeSantossz/weather-forecast
0

End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly detection on 133K+ observations

Jupyter Notebook
#anomaly-detection#arima#data-science#forecasting#lightgbm#machine-learning#prophet#python#time-series#weather
bug good first issue phase-0-hygiene
LukeSantossz/weather-forecast
0

End-to-end temperature forecasting pipeline, 0.19°C RMSE across 211 countries. Statistical models (ARIMA/SARIMA), gradient boosting (LightGBM), inverse-RMSE, weighted ensemble, and dual anomaly detection on 133K+ observations

Jupyter Notebook
#anomaly-detection#arima#data-science#forecasting#lightgbm#machine-learning#prophet#python#time-series#weather