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Playing with machine learning algorithms on the Enron data set as part of my completion of the Udacity Intro to ML course.

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enron-machine-learning

After completing the Udacity "Introduction to Machine Learning Course" (which you can find here: https://www.udacity.com/course/intro-to-machine-learning--ud120), I used their pre-written code to develop my own testing of four machine learning algorithms I studied in the course, to achieve an F1 score greater than 0.3.

Running the code

Everything here was prewritten code (or data) provided by the course, except for final_project/poi_id.py which is where I did the main developmnent to complete the project. To see my results, run that file using python3

Note:

The code was originally written in Python 2, I've made some small syntactical modifications to allow it to run in Python 3.9

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Playing with machine learning algorithms on the Enron data set as part of my completion of the Udacity Intro to ML course.

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