Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

T. C. NokeriData Science Revealedhttps://doi.org/10.1007/978-1-4842-6870-4_4

4. High-Quality Time-Series Analysis

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

The preceding chapter covered seasonal ARIMA. After all the considerable effort in data preprocessing and hyperparameter optimization, the model generates considerable errors when forecasting future instances of the series. For a fast and automated forecasting procedure, use Facebook’s Prophet; it forecasts time-series data based on nonlinear trends with seasonality and holiday effects. This chapter introduces Prophet and presents a way of developing and testing an additive model. First, it discusses ...