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  • New York University
  • New York

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raoulnormand/README.md

I am Raoul Normand, a math PhD specializing in probability. This contains several projects that I worked on and wrote myself entirely in order to train on Python. Specifically, I used:

  • scientific libraries such as NumPy and Matplotlib;
  • data science libraries like sklearn, pandas, TensorFlow.

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  1. easygrader easygrader Public

    A library to easily calculate course grades.

    Python

  2. grade-prediction grade-prediction Public

    An analysis and prediction models for grades based on real data from NYU classes.

    Jupyter Notebook

  3. mnist_distribution mnist_distribution Public

    A CNN model trained to learn the distribution of the MNIST digits.

    Python

  4. recipe-recs recipe-recs Public

    A recommendation system for recipes of recipetineats.com

    Python