没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
Time Series
Algorithms Recipes
Implement Machine Learning
and Deep Learning Techniques
with Python
—
Akshay R Kulkarni
Adarsha Shivananda
Anoosh Kulkarni
V Adithya Krishnan
Time Series
Algorithms Recipes
Implement Machine Learning
andDeep Learning Techniques
withPython
AkshayRKulkarni
AdarshaShivananda
AnooshKulkarni
VAdithyaKrishnan
Time Series Algorithms Recipes: Implement Machine Learning and Deep
Learning Techniques with Python
ISBN-13 (pbk): 978-1-4842-8977-8 ISBN-13 (electronic): 978-1-4842-8978-5
https://doi.org/10.1007/978-1-4842-8978-5
Copyright © 2023 by Akshay R Kulkarni, Adarsha Shivananda,
Anoosh Kulkarni, V Adithya Krishnan
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or
part of the material is concerned, specifically the rights of translation, reprinting, reuse of
illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way,
and transmission or information storage and retrieval, electronic adaptation, computer software,
or by similar or dissimilar methodology now known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark
symbol with every occurrence of a trademarked name, logo, or image we use the names, logos,
and images only in an editorial fashion and to the benefit of the trademark owner, with no
intention of infringement of the trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if
they are not identified as such, is not to be taken as an expression of opinion as to whether or not
they are subject to proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of
publication, neither the authors nor the editors nor the publisher can accept any legal
responsibility for any errors or omissions that may be made. The publisher makes no warranty,
express or implied, with respect to the material contained herein.
Managing Director, Apress Media LLC: Welmoed Spahr
Acquisitions Editor: Celestin Suresh John
Development Editor: Laura Berendson
Coordinating Editor: Mark Powers
Cover designed by eStudioCalamar
Cover image by Aron Visuals on Unsplash (www.unsplash.com)
Distributed to the book trade worldwide by Apress Media, LLC, 1 NewYork Plaza, NewYork, NY
10004, U.S.A.Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com,
or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member
(owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance
Inc is a Delaware corporation.
For information on translations, please e-mail booktranslations@springernature.com; for
reprint, paperback, or audio rights, please e-mail bookpermissions@springernature.com.
Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook
versions and licenses are also available for most titles. For more information, reference our Print
and eBook Bulk Sales web page at http://www.apress.com/bulk-sales.
Any source code or other supplementary material referenced by the author in this book is
available to readers on GitHub (https://github.com/Apress). For more detailed information,
please visit http://www.apress.com/source-code.
Printed on acid-free paper
AkshayRKulkarni
Bangalore, Karnataka, India
AdarshaShivananda
Hosanagara, Karnataka, India
AnooshKulkarni
Bangalore, India
VAdithyaKrishnan
Navi Mumbai, India
To our families
v
Chapter 1: Getting Started with Time Series ����������������������������������������1
Recipe 1-1A. Reading Time Series Objects (Air Passengers) ................................2
Problem ...........................................................................................................2
Solution ...........................................................................................................2
How It Works ...................................................................................................2
Recipe 1-1B. Reading Time Series Objects (India GDP Data) ................................ 4
Problem ...........................................................................................................4
Solution ...........................................................................................................4
How It Works ...................................................................................................4
Recipe 1-2. Saving Time Series Objects ...............................................................6
Problem ...........................................................................................................6
Solution ...........................................................................................................6
How It Works ...................................................................................................6
Recipe 1-3A. Exploring Types of Time Series Data: Univariate ..............................7
Problem ...........................................................................................................7
Solution ...........................................................................................................7
How It Works ...................................................................................................7
About the Authors �������������������������������������������������������������������������������� xi
About the Technical Reviewer �����������������������������������������������������������xiii
Preface �����������������������������������������������������������������������������������������������xv
Table of Contents
剩余187页未读,继续阅读
资源评论
KerryMo
- 粉丝: 206
- 资源: 14
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功