#python #technology #software
#prediction #statistics
#timeseries #datascience
#automation #modeling #optimization #algorithm
#NIXTLA
👉 Out-of-Sample Time Series Forecasting (TSF) via Nixtla’s StatsForecast: AutoARIMA, AutoETS, AutoCES, AutoTheta & AutoTBATS Models

👉 Learn how to leverage the integrated capabilities of Nixtla’s StatsForecast, an open-source Python project focused on state-of-the-art time series forecasting at scale!

#exploremore 👇

https://medium.com/@alexzap922/out-of-sample-time-series-forecasting-tsf-via-nixtlas-statsforecast-autoarima-autoets-0e163a22d9cb?sk=214947d25d78b26127c6fd9a4eb068c6

Out-of-Sample Time Series Forecasting (TSF) via Nixtla’s StatsForecast: AutoARIMA, AutoETS, AutoCES, AutoTheta & AutoTBATS Models

Learn how to leverage the integrated capabilities of Nixtla’s StatsForecast, an open-source Python project focused on state-of-the-art time series forecasting at scale!

Medium
last week I did a presentation at our local (Milan, Italy) #Python Meetup. I did present a general intro to time series forecasting and #Nixtla: an open source ecosystem which I think it has the potential to become the reference framework for time series forecasting in #Python. Of course slides were done in #nim with #nimislides and #nimib. Repo here: https://github.com/pietroppeter/pymi-timeseries-forecasting-nixtla
GitHub - pietroppeter/pymi-timeseries-forecasting-nixtla: repo for presentation at Python Milano (May 2023) on timeseries forecasting with Nixtla

repo for presentation at Python Milano (May 2023) on timeseries forecasting with Nixtla - GitHub - pietroppeter/pymi-timeseries-forecasting-nixtla: repo for presentation at Python Milano (May 2023)...

GitHub