Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

© Danish Haroon 2017

Danish Haroon, Python Machine Learning Case Studies, https://doi.org/10.1007/978-1-4842-2823-4_3

3. Time Series

Danish Haroon¹ 

(1)Karachi, Pakistan

The goal of this chapter is to get you started with time series forecasting. A time series forecast is different from regression in that time acts as an exploratory variable and should be continuous along equal intervals. The chapter will cover the concept of stationary, its importance, and methodologies to check its existence in a time series object. Several time series models will be applied, and their forecasts will be checked using the most effective evaluation techniques.

Note

This book incorporates Python 2.7.11 as the de facto standard for coding examples. Moreover, you are required ...