Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

Sergio Virahonda

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25 Feb 2021CPOL6 min read

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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? ◁ Prev View All Next ▷

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

Written By

Sergio Virahonda

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.

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

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