Time Series Forecasting in Python

1 Understanding time series forecasting

This chapter covers

• Introducing time series
• Understanding the three main components of a time series
• The steps necessary for a successful forecasting project
• How forecasting time series is different from other regression tasks

Time series exist in a variety of fields from meteorology to finance, econometrics, and marketing. By recording data and analyzing it, we can study time series to analyze industrial processes or track business metrics, such as sales or engagement. Also, with large amounts of data available, data scientists can apply their expertise to techniques for time series forecasting.

You might have come across other courses, books, or articles on time series that implement their solutions ...