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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 7 7

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

    HTML 2 4

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

    HTML 1

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

    HTML 1

5 contributions in the last year

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December 2021

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