/Music_Identifier_ML_Model

A simple Machine Learning Model to identify the different genres of music listened to by different age groups.

Primary LanguageJupyter Notebook

Music Identifier Machine Learning Model

  • This is a simple machine learning model created to identify music genres listened to people of different ages and genders.

Introduction

  • This is a simple model trained by a small dataset.
  • Its aim is to identify people and the genres they are most likely to be interested in with the help of their ages.

Technologies

  • Python 3.6+
  • Jupyter Notebook

Libraries Used

  • Pandas
  • Numpy
  • Scikit-learn
  • joblib package

Installation

  • Dot Plugins that are used to visualize the decision tree which uses DOT Language.

  • Pandas, Numpy, Scikit-learn libraries as well as the required packages can be installed through

        $ python -m pip install

in the cmd or direct download in the pyCharm IDE.