AI in the Industry Tutorial - Part 03
A tutorial from the AI in the Industry course from University of Bologna, covering interpolation methods for filling missing values in a time series

This is one of a series of tutorials that are part of the "AI in the Industry" course at University of Bologna. Each tutorial tackles a simplified industrial problem and aims at showing how similar problem can be tackled using AI techniques, from Machine Learning to Combinatorial Optimization (and later on their combination).
This tutorial in particular addresses the problem of filling missing data in time series, using first basic interpolation methods and then switching to more advanced ones (Gaussian Processes). The tutorial also shows how to obtain simple ensembles via multiplication.
The tutorial relies on publicly available data.
The guide is available at the URL specified in the top right of the page, or directly on Binder