Abstract
Regression and time series analysis make predictions for quantitative target variables possible. This chapter aims to highlight the core concept of regression and its variants. The emphasis here is to take the readers through the journey of model selection when solving for real-world problems. Moreover, this chapter also features statistical tests to evaluate the findings of these regression techniques.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Danish Haroon
About this chapter
Cite this chapter
Haroon, D. (2017). Regression. In: Python Machine Learning Case Studies. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2823-4_2
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2823-4_2
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2822-7
Online ISBN: 978-1-4842-2823-4
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)