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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_3

3. Advanced Univariate and Statistical Multivariate Modeling

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
 

Chapter 2 explored various recipes for implementing univariate statistical modeling in Python. A few more advanced techniques are explored in this chapter, as well as modeling another type of temporal data—the multivariate time series. Multivariate time series contains additional time-dependent features that impact your target, apart ...

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Publisher Resources

ISBN: 9781484289785Purchase LinkPublisher Website