AIRBUS Data Analyst Nanodegree - Project 4

Contents:

  • 1. Overview
  • 2. Database exploration
  • 3. Features selections and optimization
  • 4. Select and tune algorithm
  • 5. Validate and evaluate result
AIRBUS Data Analyst Nanodegree - Project 4
  • Docs »
  • AIRBUS Data Analyst Nanodegree - Project 4

AIRBUS Data Analyst Nanodegree - Project 4ΒΆ

Source Code: poi_id.py myTools.py tester.py

Database : ENRON_DATABASE.csv final_project_dataset.pkl

Classifier data: my_classifier.pkl my_dataset.pkl my_feature_list.pkl

Contents:

  • 1. Overview
    • 1.1. Enron company
    • 1.2. Objective
    • 1.3. Dependencies
    • 1.4. Resources
  • 2. Database exploration
    • 2.1. Statistics
    • 2.2. Outliers
  • 3. Features selections and optimization
    • 3.1. New features
    • 3.2. Features scaling
    • 3.3. Features selections
  • 4. Select and tune algorithm
  • 5. Validate and evaluate result
    • 5.1. Definition
    • 5.2. Test execution
    • 5.3. Conclusion
Next

© Copyright 2019, Dan Bismuth