Data Science Examples

Completed

Binary classification
- Develop models using multiple algorithms
- Highlight the Explainable Boosting Machine (EBM) algorithm
- Demonstrate global and local explainability
Anomaly Detection with Explainability
- Unsupervised machine learning (Isolation Forest) for anomaly detection
- Surrogate regression model to explain the anomaly model

Traditional statistical models
- Multiple linear regression
- Logistic regression
Simple Decision Trees for Classification
Forecasting

Name		Name	Last commit message	Last commit date
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ML Anomaly Detection.ipynb		ML Anomaly Detection.ipynb
ML Binary Classification Example.ipynb		ML Binary Classification Example.ipynb
README.md		README.md
proc_freq.py		proc_freq.py