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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 ...
Python implementation of code in Analyzing Neural Time Series by Mike X. Cohen. Click this badge to run interactive code in your browser: Update Oct 2021: Cleaning files, and finishing the rest of the ...
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 ...
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