PacktPublishing/Time-Series-Analysis-with-Python-Cookbook-Second-Edition
Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
This resource provides practical examples and code to help you analyze and forecast data that changes over time, like stock prices, sensor readings, or sales figures. You'll learn to prepare your time-ordered information, find patterns, detect unusual events, and build predictive models using statistical methods and machine learning. It's designed for data analysts, data scientists, and researchers who need to make sense of sequential data and anticipate future trends.
Use this if you are a data professional needing hands-on guidance to apply various techniques for understanding and predicting time-series data.
Not ideal if you are looking for a theoretical textbook without practical code examples or if you don't work with time-dependent data.
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MIT
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Feb 12, 2026
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