Time Series Analysis with Python Cookbook - Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation PDF
630 Pages·2022·38.0469 MB·other
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Preview Time Series Analysis with Python Cookbook - Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
Description:
The book covers concepts, techniques, and algorithms commonly used and more
advanced and recent approaches with practical use. For example, you will learn to train
and validate different models covering statistical methods, machine learning algorithms,
and various deep learning architectures for forecasting and outlier (or anomaly) detection.
Most importantly, the variety of datasets used in this book will give you a better insight
into how these different models work and how you can pick the most appropriate
approach to solve your specific problem.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
