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  1. Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

    Jupyter Notebook 1 2

  2. Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.

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  3. Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.

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  4. In this project, we employ several supervised learning algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census.

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  5. Jupyter Notebook

95 contributions in the last year

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Contribution activity

April 2019

YannisPap has no activity yet for this period.

March 2019

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