Coverart for item
The Resource Hands-on time series analysis with Python : from basics to bleeding edge techniques, B V Vishwas, Ashish Patel

Hands-on time series analysis with Python : from basics to bleeding edge techniques, B V Vishwas, Ashish Patel

Label
Hands-on time series analysis with Python : from basics to bleeding edge techniques
Title
Hands-on time series analysis with Python
Title remainder
from basics to bleeding edge techniques
Statement of responsibility
B V Vishwas, Ashish Patel
Creator
Contributor
Subject
Language
eng
Summary
This book explains the concepts of time series from traditional to bleeding-edge techniques with full-fledged examples. The book begins by covering time series fundamentals and its characteristics, the structure of time series data, pre-processing, and ways of crafting the features through data wrangling. Next, it covers the traditional time series techniques like Smoothing methods, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA using trending framework like StatsModels, pmdarima. Further, Book explains the building classification models using sktime, and covers how to leverage advance deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem using Tensorflow. It finally concludes by explaining the popular framework fbprophet for modeling time series analysis. After completion of the book, the reader will have a good understanding of working with different techniques of time series methods. All the codes presented in this notebook are available in Jupyter notebooks, which allows readers to do hands-on and enhance them in exciting ways. What You'll Learn Explains basics to advanced concepts of time series How to design, develop, train, and validate time-series methodologies What are smoothing, ARMA, ARIMA, SARIMA,SRIMAX, VAR, VARMA techniques in time series and how to optimally tune parameters to yield best results Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN, LSTM, GRU, Autoencoder to solve both Univariate and multivariate problems by using two types of data preparation methods for time series. Univariate and multivariate problem solving using fbprophet
Member of
Cataloging source
LQU
http://library.link/vocab/creatorName
Vishwas, B. V
Dewey number
519.5/5
Illustrations
illustrations
Index
index present
LC call number
QA280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Patel, Ashish
http://library.link/vocab/subjectName
  • Time-series analysis
  • Python (Computer program language)
  • Programming & scripting languages: general
  • Computer programming / software development
  • Machine learning
  • Computers
  • Computers
  • Computers
  • Python (Computer program language)
  • Time-series analysis
Label
Hands-on time series analysis with Python : from basics to bleeding edge techniques, B V Vishwas, Ashish Patel
Instantiates
Publication
Note
Includes index
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1: Time Series and its Characteristics -- Chapter 2: Data Wrangling and Preparation for Time Series -- Chapter 3: Smoothing Methods -- Chapter 4: Regression Extension Techniques for Time Series -- Chapter 5: Bleeding Edge Techniques -- Chapter 6: Bleeding Edge Techniques for Univariate Time Series -- Chapter 7: Bleeding Edge Techniques for Multivariate Time Series -- Chapter 8: Prophet
Control code
1191051978
Dimensions
unknown
Extent
1 online resource (xvii, 407 pages)
File format
multiple file formats
Form of item
online
Isbn
9781484259924
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-5
Other physical details
illustrations
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1191051978
Label
Hands-on time series analysis with Python : from basics to bleeding edge techniques, B V Vishwas, Ashish Patel
Publication
Note
Includes index
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1: Time Series and its Characteristics -- Chapter 2: Data Wrangling and Preparation for Time Series -- Chapter 3: Smoothing Methods -- Chapter 4: Regression Extension Techniques for Time Series -- Chapter 5: Bleeding Edge Techniques -- Chapter 6: Bleeding Edge Techniques for Univariate Time Series -- Chapter 7: Bleeding Edge Techniques for Multivariate Time Series -- Chapter 8: Prophet
Control code
1191051978
Dimensions
unknown
Extent
1 online resource (xvii, 407 pages)
File format
multiple file formats
Form of item
online
Isbn
9781484259924
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-5
Other physical details
illustrations
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1191051978

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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