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# Enron | ||
The starter code for this exercise is [here](https://github.com/udacity/ud120-projects). The project consists in creating and training a | ||
machine learning model to find persons that could have committed fraud using Enron's public dataset, containing emails and financial information | ||
of some of the company's employees. | ||
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The goal for this project was to acquire some machine learning skills, including: implementing a supervised classification algorithm, use regression | ||
algorithms to make predictions and identify and clean outliers, feature creation and selection to change raw features and identify the most | ||
important features of the dataset, validation and evaluation for understanding and quantifying machine learning results. |
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