
Time Series Forecasting in Python
by Marco Peixeiro (2017)
This book offers practical Python recipes for time series forecasting, much like 'Time Series Analysis with Python Cookbook'.

by Tarek A. Atwan (2022)
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.
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by Marco Peixeiro (2017)
This book offers practical Python recipes for time series forecasting, much like 'Time Series Analysis with Python Cookbook'.

by Manu Joseph (1862)
Similar to 'Time Series Analysis with Python Cookbook', this book delves into modern forecasting techniques using Python.

by Kyle Gallatin, Chris Albon (2018)
This cookbook provides Python recipes for machine learning, complementing the data analysis focus of 'Time Series Analysis with Python Cookbook'.

by Igor Antonyan (2020)
This book offers practical Python recipes for a specialized domain, similar to the hands-on approach of 'Time Series Analysis with Python Cookbook'.

by Vitor Cerqueira, Luís Roque (2020)
This cookbook focuses on deep learning for time series, expanding on the advanced topics introduced in 'Time Series Analysis with Python Cookbook'.
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