English | 2022 | ISBN: N/A | ASIN: B0B4XXVGW2 | 353 pages | PDF | 39.6 Mb
Time series algorithms are used extensively for analyzing and forecasting time-based data. However, given the complexity of other factors besides time, machine learning has emerged as a powerful method for understanding hidden complexities in time series data and generating good forecasts.
In this guide, you'll learn the concepts of feature engineering and machine learning from a time series perspective, along with the techniques to implement them in Python.
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