- Machine Learning: other versions:
- Setup
- Getting started with machine learning
- Anomaly detection
- Data frame analytics
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Data frame analytics examples
edit
IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.
Data frame analytics examples
editThis functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
These examples demonstrate how to use data frame analytics to derive useful insights from your data.
- Finding outliers in the eCommerce sample data
- Outlier detection example (Jupyter notebook)
- Predicting flight delays with regression analysis
- Predicting delayed flights with classification analysis
- Classification analysis example (Jupyter notebook)
- Language identification
- Feature importance for data frame analytics (Jupyter notebook)
Data frame analytics examples in blog posts
editThe blog posts listed below show how to get the most out of Elastic machine learning data frame analytics.
On this page
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