Practical Time Series Analysis

Sprache: Englisch

Verlag: Packt Publishing Limited, GB, 2023

1788290224 / 9781788290227

Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 11. Juni 2025

Softcover

Zustand: Neu

EUR 57,29

EUR 77,99 Versand 
Versand von Vereinigtes Königreich nach USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

Step by Step guide filled with real world practical examples.About This Book. Get your first experience with data analysis with one of the most powerful types of analysis-time-series. Find patterns in your data and predict the future pattern based on historical data. Learn the statistics, theory, and implementation of Time-series methods using this example-rich guideWho This Book Is ForThis book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods.What You Will Learn. Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project. Develop an understanding of loading, exploring, and visualizing time-series data. Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series. Take advantage of exponential smoothing to tackle noise in time series data. Learn how to use auto-regressive models to make predictions using time-series data. Build predictive models on time series using techniques based on auto-regressive moving averages. Discover recent advancements in deep learning to build accurate forecasting models for time series. Gain familiarity with the basics of Python as a powerful yet simple to write programming languageIn DetailTime Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python.The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python.Style and approachThis book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.…

Bestandsnummer des Verkäufers LU-9781788290227

Titel
Practical Time Series Analysis
Autor
Dr. Avishek Pal, Dr. PKS Prakash
Verlag
Packt Publishing Limited, GB
Erscheinungsjahr
2023
Zustand
New
Einband
Digital
Sprache
Englisch
ISBN-10
1788290224
ISBN-13
9781788290227
Abmessungen
19.05 x 1.4 x 23.5 cm

Rarewaves.com UK

London, Vereinigtes Königreich

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 11. Juni 2025

Versandkosten von Vereinigtes Königreich nach USA

Artikel60 bis 60 Werktage60 bis 60 Werktage
Erster ArtikelEUR 77,99EUR 119,98
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

RAREWAVES.COM LIMITED

Elsley Court, 20-22 Great Titchfield Street
London, Vereinigtes Königreich W1W 8BE