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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Hands-on Time Series Analysis with Python
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Hands-on Time Series Analysis with Python
ASHISH PATEL (Taschenbuch, Englisch)
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Beschreibung
Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks. You'll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and… how to craft the features through data wrangling. Next, you'll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima. The book also explains building classification models using sktime, and covers advanced deep learning-based techniques like ANN, CNN, RNN, LSTM, GRU and Autoencoder to solve time series problem using Tensorflow. It concludes by explaining the popular framework fbprophet for modeling time series analysis. After reading Hands-On Time Series Analysis with Python , you'll be able to apply these new techniques in industries, such as oil and gas, robotics, manufacturing, government, banking, retail, healthcare, and more. 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. Who This Book Is For Data scientists, data analysts, financial analysts, and stock market researchers 58,84 €
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Technische Daten
Erscheinungsdatum
25.08.2020
Sprache
Englisch
EAN
9781484259917
Herausgeber
APRESS
Sonderedition
Nein
Autor
ASHISH PATEL
Seitenanzahl
407
Auflage
1st edition
Einbandart
Taschenbuch
Buch Untertitel
From Basics to Bleeding Edge Techniques
Schlagwörter
Time Series Analysis, Machine Learning, Python, StatsModel, Pyramid, PyFlux, Regression Extensions Techniques, Bleeding Edge techniques, Neural Network
Thema-Inhalt
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
ULJ - Open-Source und sonstige Betriebssysteme
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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