Following is what you need for this book: The book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since ...

This book is for practitioners, university students working with time series, researchers, and anyone looking to learn more about time series. Basic knowledge of UNIX, Linux, and Python and an ...

Book Abstract: Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting ...

Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the ...

At a glance. Title: Python Tools for Scientists Author: Lee Vaughan Publisher: No Starch Press Print: $49.99; Ebook: $39.99 Unpacking Anaconda. Part three tours many of the libraries packaged with ...

Much of the data your company has is already time-stamped. It’s probably sitting in Excel spreadsheets, brimming with potential. Here are five ways you could use that data for time series ...

As for the enduring appeal of Monty Python's Flying Circus, Cleese, of course, has a theory: "It's always surprising to me how many people in America come up to me and say they used to watch Monty ...

For the first time in Tiobe's long-running index, 35-year-old Python has overtaken Java to become the second-most popular programming language. Python, a top choice for data-science and machine ...