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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_2

2. Statistical Univariate 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
 

Univariate time series data analysis is the most popular type of temporal data, where a single numeric observation is recorded sequentially over equal time periods. Only the variable observed and its relation to time is considered in this analysis.

The forecasting of future values of this univariate data is done through univariate modeling. In this case, the ...

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Publisher Resources

ISBN: 9781484289785Purchase LinkPublisher Website