Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 32,79
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 34,08
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 36,11
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Original o primera edición
EUR 58,29
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Añadir al carritoPaperback. Condición: New. 1st ed. 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 ForData scientists, data analysts, financial analysts, and stock market researchers.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 44,83
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 52,03
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 48,86
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 55,78
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Añadir al carritoPaperback. Condición: Brand New. 407 pages. 8.75x5.75x1.00 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 81,97
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Añadir al carritoCondición: New. pp. 364.
Librería: moluna, Greven, Alemania
EUR 48,37
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Librería: Rarewaves.com UK, London, Reino Unido
Original o primera edición
EUR 53,32
Convertir monedaCantidad disponible: 8 disponibles
Añadir al carritoPaperback. Condición: New. 1st ed. 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 ForData scientists, data analysts, financial analysts, and stock market researchers.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 83,77
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 364.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 86,32
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 364.