A Jupyter Notebook to demo the openseries package.
-
Updated
Jan 7, 2025 - Jupyter Notebook
A Jupyter Notebook to demo the openseries package.
This notebook has the pourpose to show an easy approach to fill large gaps in time series, mantainign a certain veridicity and data validity. The approach consist in apply a forecasting in both sides of the gap, and combine the two prediction using interpolation.
Add a description, image, and links to the timeseries-data topic page so that developers can more easily learn about it.
To associate your repository with the timeseries-data topic, visit your repo's landing page and select "manage topics."