English | 2022 | ISBN: 1801075549 | 630 pages | True PDF EPUB | 65.92 MB
Perform series analysis and forecasting confidently with this Python code bank and reference manual
Key Features
Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms
Learn different techniques for evaluating, diagnosing, and optimizing your models
Work with a variety of complex data with trends, multiple seasonal patterns, and irregularities
Book Description
series data is everywhere, available at a high frequency and volume.