Deep Learning for Time Series Cookbook

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Getting Started with Time Series

In this chapter, we introduce the main concepts and techniques used in time series analysis. The chapter begins by defining time series and explaining why the analysis of these datasets is a relevant topic in data science. After that, we describe how to load time series data using the pandas library. The chapter dives into the basic components of a time series, such as trend and seasonality. One key concept of time series analysis covered in this chapter is that of stationarity. We will explore several methods to assess stationarity using statistical tests.

The following recipes will be covered in this chapter:

• Loading a time series using pandas
• Visualizing a time series
• Resampling a time series
• Dealing with ...