theodoretnguyen / palmer-penguins-classification

Supervised machine learning classification on Palmer Penguins data set

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