Bleeding-Edge Techniques for Univariate Time Series
Banglore Vijay Kumar Vishwas, Ashish D. Patel · Apress eBooks · 2020
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 forecasting.