Mastering Time Series Analysis and Forecasting with Python, (Paperback)
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Mastering Time Series Analysis and Forecasting with Python, (Paperback)
Mastering Time Series Analysis and Forecasting with Python, (Paperback)
物品 #: 235567103

Mastering Time Series Analysis and Forecasting with Python, (Paperback)

物品 #: 235567103

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Shop Mastering Time Series Analysis and Forecasting with Python, (Paperback) online at a best price in 香港. 5500080869
  • Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate.Book DescriptionMastering 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.Table of Contents1. Introduction to Time Series2. Overview of Time Series Libraries in Python3. Visualization of Time Series Data4. Exploratory Analysis of Time Series Data5. Feature Engineering on Time Series6. Time Series Forecasting - ML Approach Part 17. Time Series Forecasting - ML Approach Part 28. Time Series Forecasting - DL Approach9. Multivariate Time Series, Metrics, and Validation Index
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateMarch, 2024
Pages322
SubgenreData Science
Series titleNo Series
Edition1
PublisherOrange Education Pvt Ltd
Original languagesEnglish
LanguageEnglish
Is collectibleN
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.50 x 0.67 x 9.25 Inches (19.1 x 1.7 x 23.5 cm)
Assembled product weight1.22 lb (550 grams)
Bisac subject headingComputers

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Mastering Time Series Analysis and Forecasting with Python, (Paperback)

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HKD 404

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