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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
book

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
December 2022
Beginner to intermediate content levelBeginner to intermediate
188 pages
2h 28m
English
Apress
Content preview from Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
© Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan 2023
A. R. Kulkarni et al.Time Series Algorithms Recipeshttps://doi.org/10.1007/978-1-4842-8978-5_4

4. Machine Learning Regression–based Forecasting

Akshay R Kulkarni1  , Adarsha Shivananda2, Anoosh Kulkarni3 and V Adithya Krishnan4
(1)
Bangalore, Karnataka, India
(2)
Hosanagara, Karnataka, India
(3)
Bangalore, India
(4)
Navi Mumbai, India
 

The previous chapters explained how to forecast future values using time series algorithms. Again, in time series modeling, there are two types of time series: univariate and multivariate. For more information, please refer to Chapters 2 and 3.

This chapter aims to build classical machine learning (ML) regression algorithms for time series forecasting. ...

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Publisher Resources

ISBN: 9781484289785Purchase LinkPublisher Website