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Mastering Time Series Analysis and Forecasting with Python

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Title: Mastering Time Series Analysis and Forecasting with Python
Description: 'Mastering Time Series Analysis and Forecasting with Python'is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including machine learning and deep learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains. Readers develop expertise in crafting precise predictive models and addressing real-world complexities. Complete with illustrative examples, code snippets, and hands-on exercises, this manual empowers readers to excel, make informed decisions, and derive optimal value from time series data.
Authors: Sulekha Aloorravi
Resource Type: eBook.
Subjects: Mathematical statistics, Harmonic analysis, Time-series analysis, Electronic books
Categories: COMPUTERS / Data Science / Data Analytics
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1123
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: 'Mastering Time Series Analysis and Forecasting with Python'is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including machine learning and deep learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains. Readers develop expertise in crafting precise predictive models and addressing real-world complexities. Complete with illustrative examples, code snippets, and hands-on exercises, this manual empowers readers to excel, make informed decisions, and derive optimal value from time series data.
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RecordInfo BibRecord:
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    Classifications:
      – Code: 519.55
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical statistics
        Type: general
      – SubjectFull: Harmonic analysis
        Type: general
      – SubjectFull: Time-series analysis
        Type: general
      – SubjectFull: Electronic books
        Type: general
    Titles:
      – TitleFull: Mastering Time Series Analysis and Forecasting with Python
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          Name:
            NameFull: Sulekha Aloorravi
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            NameFull: Sulekha Aloorravi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
            – Type: isbn-electronic
              Value: 9788196815103
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              Value: 9788196815134
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              Type: main
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