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Titlebook: Hands-on Time Series Analysis with Python; From Basics to Bleed B V Vishwas,ASHISH PATEL Book 2020 B V Vishwas and Ashish Patel 2020 Time S

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發(fā)表于 2025-3-21 16:08:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hands-on Time Series Analysis with Python
副標(biāo)題From Basics to Bleed
編輯B V Vishwas,ASHISH PATEL
視頻videohttp://file.papertrans.cn/424/423997/423997.mp4
概述Covers latest time series packages like fbprophet and pmdarima..Introduces reader’s to wide range of methods such as Smoothening, ARIMA, SARIMA, SARIMAX, VAR, VARMA, AUTO-ARIMA.Explains how to leverag
圖書封面Titlebook: Hands-on Time Series Analysis with Python; From Basics to Bleed B V Vishwas,ASHISH PATEL Book 2020 B V Vishwas and Ashish Patel 2020 Time S
描述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..·? H
出版日期Book 2020
關(guān)鍵詞Time Series Analysis; Machine Learning; Python; StatsModel; Pyramid; PyFlux; Regression Extensions Techniq
版次1
doihttps://doi.org/10.1007/978-1-4842-5992-4
isbn_softcover978-1-4842-5991-7
isbn_ebook978-1-4842-5992-4
copyrightB V Vishwas and Ashish Patel 2020
The information of publication is updating

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發(fā)表于 2025-3-21 22:05:10 | 只看該作者
discrete state measurements, the discrete event-triggered SMC is designed to guarantee the system stability. The event is detected only at periodic intervals and the control signal is updated whenever it is violated at these periodic instants. So, there is always a guaranteed lower bound for inter
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發(fā)表于 2025-3-22 06:27:51 | 只看該作者
B V Vishwas,Ashish Patel discrete state measurements, the discrete event-triggered SMC is designed to guarantee the system stability. The event is detected only at periodic intervals and the control signal is updated whenever it is violated at these periodic instants. So, there is always a guaranteed lower bound for inter
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發(fā)表于 2025-3-22 12:01:23 | 只看該作者
B V Vishwas,Ashish Patelo establish the existence and uniqueness of the weak or variational solution to the dynamic problem with the normal compliance contact condition. The main step is in the truncation of the nonlinear term and then establishing the necessary a priori estimates. Then, we show that when the viscosity of
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發(fā)表于 2025-3-22 16:35:11 | 只看該作者
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發(fā)表于 2025-3-22 19:38:02 | 只看該作者
B V Vishwas,Ashish Patelinal sliding-mode surfaces are designed for the followers. Finally, on the basis of these surfaces, sliding-mode protocols are derived. The designed protocols achieve finite-time output consensus of all the leader-follower agents. Simulations substantiate the efficacy of the proposed composite consensus control scheme.
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發(fā)表于 2025-3-22 23:32:06 | 只看該作者
Book 2020al 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.
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