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  1. Taking a look at Fandango ratings post-Hickey analysis

    Jupyter Notebook

  2. A quick analysis of programming course markets using intermediate statistics.

    Jupyter Notebook

  3. In this brief exercise, I practice the basic machine learning workflow using data about cars to predict market price.

    Jupyter Notebook

  4. An exercise in modeling, cleaning and feature selection using housing prices in Ames, Iowa.

    Jupyter Notebook

  5. A quick exploration of bike rentals and error analysis.

    Jupyter Notebook

  6. Working with and MLPClassifier and handwritten digits data.

    Jupyter Notebook

181 contributions in the last year

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Activity overview

Contribution activity

May 2019

18 contributions in private repositories May 9 – May 22

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