Data Science Utils
Data Science Utils extends the Scikit-Learn API and Matplotlib API to provide simple methods that simplify tasks and visualizations for data science projects.
Contents:
- Installation Guide
- AI Coding Skills
- Math Utils
- Metrics
- Plot Confusion Matrix
- Receiver Operating Characteristic (ROC) Curve with Probabilities (Thresholds) Annotations
- Precision-Recall Curve with Probabilities (Thresholds) Annotations
- Directional Metrics
- Generate Error Analysis Report
- Plot Metric Growth per Labeled Instances
- Visualize Accuracy Grouped by Probability
- Plot Error Analysis Chart
- Regression Metrics
- Preprocess
- Strings
- Transformers
- Unsupervised
- XAI (Explainable AI)
- Contributing