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This repository contains a single notebook, notebook.ipynb, which analyzes the ability of three machine learning algoithms — Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine — to determine whether customer reviews of the Disneyland amusement park in California are positive or negative.

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Classifying Amusement Park Reviews

This repository contains a single notebook, notebook.ipynb, which analyzes the ability of three machine learning algoithms -- Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine -- to determine whether customer reviews of the Disneyland amusement park in California are positive or negative.

Main Packages Used

  • python 3.8.15
  • pandas 1.5.2
  • numpy 1.24.0
  • sklearn 1.2.0
  • matplotlib 3.6.2
  • matplotlib_venn 0.11.9
  • seaborn 0.12.1
  • scipy 1.9.3
  • joblib 1.1.1
  • re 2.2.1
  • nltk 3.7

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This repository contains a single notebook, notebook.ipynb, which analyzes the ability of three machine learning algoithms — Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine — to determine whether customer reviews of the Disneyland amusement park in California are positive or negative.

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