Time series prototyping
[Closed]
Work description
In time series with high frequencies, the amount of data reserved often becomes an issue. The objective of the work to design and develop an algorithm in Python that should be able to reduce as much as possible the data of a time series without losing its predictive performance using the time series forecasting algorithm, Holt Winters.
Academic Qualifications
Training in Computer Engineering, Computer Science or related areas.
Minimum profile required
Enrollment in a cycle of studies conferring an academic degree or in a course of Higher Education not conferring an academic degree.
Preference factors
Know how to program in Python; Basic knowledge of machine learning.
Application Period
Since 04 Oct 2023 to 18 Oct 2023
[Closed]
Centre
Artificial Intelligence and Decision Support