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Species predictions of penguins from Palmer Station region in Antarctica using morphometric data through machine learning methods. Final project of Scientific Computing Course.

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morphometric-penguin-analysis

Adenilson Arcanjo de Moura Junior

Species prediction of penguins from Palmer Station region in Antarctica using morphometric data through machine learning methods.

Final project of Computational Methods Course under the supervision of Sara Mortara and Andrea Sánchez Tapia

August, 2022

Project structure

project/
     ├── data/
     │   ├── raw
     │   └── processed
     ├── docs/
     ├── R/
     ├── outputs/
     │   └── figs/
     └── README.md

In docs you will find the report in PDF format, its LaTeX source code and a .bib file containing the references of the report.

Requirements

This project was developed in R and uses the following packages:
stringr visdat ggplot2 gridExtra caret rpart rpart.plot

Dataset

The raw data was collected and made available by Dr. Kristen Gorman and the Palmer Station, Antarctica. The data was downloaded from palmerpenguins package and stored in data/raw to avoid inconsistencies.

Instructions

In order to reproduce the work done follow the scripts in R in the correct order.
More detailed information can be found in docs/project_report.pdf.

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Species predictions of penguins from Palmer Station region in Antarctica using morphometric data through machine learning methods. Final project of Scientific Computing Course.

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