Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
by Manu Joseph, Jeffrey Tackes
Modern Time Series Forecasting with Python explores machine learning and deep learning techniques for time series analysis. With PyTorch and pandas at its core, the book presents a modern, practical focus for readers interested in developing industry-oriented forecasting workflows in Python.
About This Book
Modern Time Series Forecasting with Python focuses on time series analysis using contemporary Python-based methods.
The book covers machine learning and deep learning approaches for forecasting, with attention to practical, industry-oriented use.
PyTorch and pandas are central tools in the book’s technical scope.
It is intended for readers seeking a modern perspective on building and analyzing time series forecasting solutions.
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