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Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

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25 Feb 2021CPOL6 min read
In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.
Here we’ll discuss pre-processing of the time series data for forecasting and anomaly detection tasks based on Bitcoin’s historical price.


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This article is part of the series 'Why Use AI on Time-Series Data? View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By
United States United States
Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.

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