Feature extraction is the practice of enhancing machine learning by finding characteristics in the data that help solve a particular problem . For time series data, feature extraction can be performed using various time series analysis and decomposition techniques.
Read moreWhat are the features of time series?
When plotted, many time series exhibit one or more of the following features:
Read moreWhat is feature generation?
Feature generation is the process of creating new features from one or multiple existing features, potentially for use in statistical analysis . This process adds new information to be accessible during the model construction and therefore hopefully result in a more accurate model.
Read moreHow do you create synthetic data in Python?
For starters, let’s install the package.
Read moreHow do you impute time series data in Python?
How to deal with missing values in a Timeseries in Python?
Read moreHow do you visualize a time series?
A line graph is the simplest way to represent time series data. It helps the viewer get a quick sense of how something has changed over time.
Read moreWhich charts are used for time series data?
Typically, line charts are the best choice for presenting time series data, but stepped and column charts can also be used as alternatives.
Read more