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  • Spotify
  • Queens, NY

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marcstern14/README.md

Musician // Data Scientist

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  1. Spark-MLlib Spark-MLlib Public

    Using MLlib with Spark, this code compares Logistic Regression and Gradient Boosted Decision Tree classifier models to predict whether a person makes more or less than $50,000 per year as a salary.

    Jupyter Notebook

  2. Time-Series-Regression-Model-Comparison Time-Series-Regression-Model-Comparison Public

    This is a study that compares regression models for predicting cumulative Confirmed Covid-19 Cases over time.

    Jupyter Notebook

  3. What-Makes-Popular-Music What-Makes-Popular-Music Public

    Data Visualization and Analysis to answer the two questions: Is the Billboard Hot 100 chart representative of the most popular music? What musical metrics are most common in popular music?

    Jupyter Notebook

  4. Statistical-Test Statistical-Test Public

    This report details a statistical test comparing song duration between 2019 and 1972, and uses techniques of linear regression to look for correlations between song duration and song popularity on …

    Jupyter Notebook