Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
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Perform time 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
Time series data is everywhere, available at a high frequency and...























