书目名称 | Hands-on Time Series Analysis with Python | 副标题 | From Basics to Bleed | 编辑 | B V Vishwas,ASHISH PATEL | 视频video | http://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 | 图书封面 |  | 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 | 关键词 | Time Series Analysis; Machine Learning; Python; StatsModel; Pyramid; PyFlux; Regression Extensions Techniq | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-5992-4 | isbn_softcover | 978-1-4842-5991-7 | isbn_ebook | 978-1-4842-5992-4 | copyright | B V Vishwas and Ashish Patel 2020 |
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