Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation - Paperback
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Covers ingestion, handling, and visualization of time series data for comprehensive data preparation
Explains missing data imputation and outlier detection techniques for robust preprocessing
Demonstrates classical and modern forecasting models including ARIMA, Holt-Winters, and deep learning with TensorFlow and PyTorch
Provides step-by-step code and explanations for model evaluation, optimization, and anomaly detection
Includes interactive visualizations using hvplot for enhanced data exploration
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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, di