Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
2022

🏷 Getting Started with Time Series Analysis
🏷 Reading Time Series Data from Files
🏷 Reading Time Series Data from Databases
🏷 Persisting Time Series Data to Files
🏷 Persisting Time Series Data to Databases
🏷 Working with Date and Time in Python
🏷 Handling Missing Data
🏷 Outlier Detection Using Statistical Methods
🏷 Exploratory Data Analysis and Diagnosis
🏷 Building Univariate Time Series Models Using Statistical Methods
🏷 Additional Statistical Modeling Techniques for Time Series
🏷 Forecasting Using Supervised Machine Learning
🏷 Deep Learning for Time Series Forecasting
🏷 Outlier Detection Using Unsupervised Machine Learning
🏷 Advanced Techniques for Complex Time Series