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Supervised machine learning classification on Palmer Penguins data set

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Palmer Penguins Classification

Goal

The goal of this project was to determine a small set of measurements that are highly predictive of a penguin's species.

Data Set

The machine learning models were trained and evaluated on the Palmer Penguins data set, which was collected by Dr. Kristen Gorman and the Palmer Station, Antarctica LTER, a member of the Long Term Ecological Research Network. The CSV data contains measurements on three penguin species: Chinstrap, Gentoo, and Adelie.

Overview of Project

  • Exploratory Data Analysis
  • Modeling
    • Logistic regression and cross validation were used for feature selection
    • Model 1: Multinomial Logistic Regression
    • Model 2: Decision Tree Classifier
    • Model 3: Support Vector Machine

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Supervised machine learning classification on Palmer Penguins data set

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