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This project classifies legendary pokemon based on various statistics using multiple different Machine Learning algorithms, including Logistic Regression, Random Forest Classifier, and Multi-Layer Perceptron Classifier.

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SarangaR/PokemonLegendaryClassifier

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Pokemon Legendary Classifier

This project classifies legendary pokemon based on various statistics using multiple different Machine Learning algorithms, including:

  • Logistic Regression
  • Random Forest Classifier
  • Multi-Layer Perceptron Classifier

Installation

Requirements

  • numpy
  • pandas
  • seaborn
  • matplotlib
  • sklearn

Running

This project can be run through Jupyter with:

jupyter src/PokemonAnalysis.ipynb

Exploratory Data Analaysis

The research document detailing the data analysis performed on the pokemon can be found at src/PokemonExploratoryDataAnalaysis.pdf.

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This project classifies legendary pokemon based on various statistics using multiple different Machine Learning algorithms, including Logistic Regression, Random Forest Classifier, and Multi-Layer Perceptron Classifier.

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