Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques

© B V Vishwas and Ashish Patel 2020

B. V. Vishwas, A. PATELHands-on Time Series Analysis with Pythonhttps://doi.org/10.1007/978-1-4842-5992-4_6

6. Bleeding-Edge Techniques for Univariate Time Series

B V Vishwas¹  and Ashish Patel²

(1)

Infosys, Bengaluru, India

(2)

Cygnet Infotech Pvt Ltd, Ahmedabad, India

 

In the previous chapter, you learned about using traditional techniques to work with time-series data. In this chapter, you will learn how to solve univariate time-series problems using bleeding-edge techniques. A univariate time series is a time series that consists of single (scalar) observations recorded sequentially over equally spaced time periods. In this chapter, you will look at single-step time-series forecasting and horizon-style time-series ...