Understanding Data and Machine Learning Models with Visualizations

Part 1 - PCA and Feature Correlation

• code/Interactive PCA and Feature Correlation.ipynb
• code/pca_feature_correlation.py
• Post on Cascade.Bio blog

Part 2 - Machine Learning Decision Boundary Visualization

• code/Interactive_Model_Predictions_and_Decision_Boundaries.ipynb
• Post on Cascade.Bio blog

Part 3 - ROC Curves

• code/Interactive_ROC_analysis.ipynb
• code/accstats.py
• code/roc_pr_curve.py
• Post on HackerNoon

---

Note: code was developed in Python 3.6 and likely not backwards compatible because of liberal use of f-strings (sorry not sorry)