Predicting Fraud at Enron: Who is Person of Interest?
Project report: IPython Notebook documenting the entire process. It includes more development scripts and work-in-progress output (charts and tables) than
poi_id.py: scripts for identifying POIs. Codes may not be in the exact same order as in the original file.
final_project_dataset.pkl: original dataset
Resource: include references and additional materials coming with final_project folder.
- Parameter estimation using grid search with a nested cross-validation — scikit-learn 0.10 documentation
- Plotting Learning Curves — scikit-learn 0.16.1 documentation
- Model selection: choosing estimators and their parameters — scikit-learn 0.16.1 documentation
- 1.13. Feature selection — scikit-learn 0.16.0 documentation
- pylab_examples example code: demo_tight_layout.py — Matplotlib 1.4.3 documentation
- Accuracy and precision
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