Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
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Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
This book promises that by the end of the reading, the readers will understand time series and forecasting techniques, and also learn how to analyze, design, and maintain the solutions.
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path)
Nº de artículo: 157029720

Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components

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Nº de artículo: 157029720

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  • Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-MakingBook DescriptionEmbark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject.It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the cloud's power for advanced and scalable time series forecasting.Table of Contents1. Introduction to Python and its key packages for DS and ML Projects2. Python for Time Series Data Analysis3. Time Series Analysis and its Components4. Time Series Analysis and Forecasting Opportunities in Various Industries5. Exploring various aspects of Time Series Analysis and Forecasting6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA7. Understanding Exponential Smoothing and ETS Methods in TSA8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA)9. Deep Learning for Time Series Analysis and Forecasting10. Azure Time Series Insights11. AWSForecastIndex
Publisher Orange Education Pvt Ltd
Publication date 28 Dec. 2023
Language English
Print length 442 pages
ISBN-10 8119416449
ISBN-13 978-8119416448
Item weight 757 g
Dimensions 19.05 x 2.54 x 23.5 cm
Book 3 of 3 Predictive Analytics Specialist — Industry Path

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  • Pregunta: Who is this book intended for?

    Respuesta: It's designed for beginners to practitioners in data-related fields, including Data Analysts and Data Scientists.
  • Pregunta: What programming knowledge is required?

    Respuesta: Readers should have foundational understanding of programming languages like Python, as well as data structures and statistics.
  • Pregunta: What topics does the book cover?

    Respuesta: The book covers Time Series Data Analysis, Forecasting techniques, and industry-specific case studies.

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características y beneficios

  • Comprehensive coverage of Time Series Analysis and Forecasting using Python.
  • Hands-on examples and real-world case studies for practical understanding.
  • Master various Time Series Models including AR, MA, ARIMA, and Deep Learning techniques.
  • Ideal for Data Analysts, Data Scientists, and Machine Learning Engineers at all skill levels.
  • Connects industry problems with solutions using current tools and technology.
  • Leverage cloud platforms for efficient forecasting, gaining insights across sectors.

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