Data Science Utils

Data Science Utils extends the Scikit-Learn API and Matplotlib API to provide simple methods that simplify task and visualization over data.

Contributing

Interested in contributing to Data Science Utils? Great! You’re welcome, and we would love to have you. We follow the Python Software Foundation Code of Conduct and Matplotlib Usage Guide.

No matter your level of technical skill, you can be helpful. We appreciate bug reports, user testing, feature requests, bug fixes, product enhancements, and documentation improvements.

Thank you for your contributions!

Find a Bug?

Check if there’s already an open issue on the topic. If needed, file an issue.

Open Source

Data Science Utils license is MIT License.

Contents:

• Installation
• Metrics
  • Plot Confusion Matrix
  • Plot Metric Growth per Labeled Instances
  • Visualize Accuracy Grouped by Probability
• Preprocess
  • Visualize Feature
  • Get Correlated Features
  • Visualize Correlations
  • Plot Correlation Dendrogram
  • Plot Features’ Interaction
• Strings
  • Append Tags to Frame
  • Significant Terms
• Unsupervised
  • Plot Cluster Cardinality
  • Plot Cluster Magnitude
  • Magnitude vs. Cardinality
  • Optimum Number of Clusters
• XAI
  • Draw Tree
  • Draw Dot Data
  • Generate Decision Paths
  • Plot Features` Importance

Indices and tables

• Index

• Search Page