udacity-dalf-project4-identify-fraud-enron-email

This repository contains the analysis performed by Javier Gómez García for the 4th project of the Udacity Data Analyst Nanodegree.
It includes the following files:

• A Jupyter notebook containing the main program and the description of the work (Python version: 2.7):
  Project4_Identify_Fraud_from_Enron_Email.ipynb

• The following text files:

  • REFERENCES: text file containing the links to the websites and repositories I have used for my work.

• The following Python files, required to process the data and called by the main program (the .ipynb file), all written in Python 2.7:

  • poi_id.py: main program to build the POI identification algorithm
  • helper_functions.py: additional functions required for processing the data and doing the tuning and testing of the classifiers
  • tester.py: additional functions to test the classifier and write the output pickle files (provided by Udacity)
  • feature_format.py: additional functions to process the data (provided by Udacity)

• The following pickle files (.pkl):

  • final_project_dataset.pkl: input file containing the Enron dataset (provided by Udacity)
  • my_classifier.pkl: file containing the final classifier
  • my_dataset.pkl: file containing the dataset with the new features added
  • my_feature_list.pkl: file containing the names of the features used for the classifier