Chapter 8. Dissecting Time Series and Sequential Data

In this chapter, we will cover the following recipes:

• Transforming data into the time series format
• Slicing time series data
• Operating on time series data
• Extracting statistics from time series data
• Building Hidden Markov Models for sequential data
• Building Conditional Random Fields for sequential text data
• Analyzing stock market data using Hidden Markov Models