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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_1

1. Getting Started with Time Series

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
 

A time series is a sequence of time-dependent data points. For example, the demand (or sales) for a product in an e-commerce website can be measured temporally in a time series, where the demand (or sales) is ordered according to the time. This data can then be analyzed to find critical temporal insights and forecast future values, which helps businesses ...

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Publisher Resources

ISBN: 9781484289785Purchase LinkPublisher Website