TIME SERIES ANALYSIS WITH PYTHON COOKBOOK practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
Prior experience working with time series data to solve business problems will also help you to better utilize and apply the different recipes in this book
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| Format: | eBook |
| Language: | English |
| Published: |
[S.l.]
PACKT PUBLISHING LIMITED
2022
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Table of Contents 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