This project involves the application of several prediction models that make music genre classifications given a training set of music features and their corresponding genre labels. Done through Python, Jupyter Notebook, and other Python libraries such as Matplotlib. The actual categorization will actually only be ‘Rock’ or ‘Not Rock’ for this project. Further explanation is provided in our project report document.
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Supervised learning model that determines if a song falls under the rock genre given a training set of music features and their corresponding genre labels. Done through three machine learning algorithms. Python, Jupyter Notebook, and other various Python libraries were used in the creation of this model.
CodeScorcher/Music-Genre-Classification
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Supervised learning model that determines if a song falls under the rock genre given a training set of music features and their corresponding genre labels. Done through three machine learning algorithms. Python, Jupyter Notebook, and other various Python libraries were used in the creation of this model.
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