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As part of my Machine Learning final course project, we applied three different binary classification methods, namely logistic regression, K-nearest neighbors, and Naive Bayes, to determine which method is most accurate in classifying male and female voices.

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voiceClassifier

As part of my Machine Learning final course project, we applied three different binary classification methods, namely logistic regression, K-nearest neighbors, and Naive Bayes, to determine which method is most accurate in classifying male and female voices.

This repository contains the explanatory diagrams and processing algorithms for a binary classification project.

Here is a link to the dataset

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As part of my Machine Learning final course project, we applied three different binary classification methods, namely logistic regression, K-nearest neighbors, and Naive Bayes, to determine which method is most accurate in classifying male and female voices.

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