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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.


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


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


  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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