Apollo

A machine learning project to predict the kind of music people like based on gender and age.

Greek Apollo - was the Olympian god of prophecy and oracles, music, song and poetry, archery, healing, plague and disease, and the protection of the young.

Steps to follow for building music prediction ML project

1. Import the data
2. Clean the data
3. Split the data into training and testing sets
4. Create a model
5. Train the model
6. Make prediction
7. Evaluate and improve

Libraries & Tools Used

1. Numpy
2. Pandas
3. Matplotlib
4. sklearn

Dev Setup

1. Jupyter - Install anaconda
2. VS Code
3. Install Dot extention in VS code
4. Dataset - The CSV file used in this tutorial: https://bit.ly/3muqqta

Visualization of Decision Tree

Contribution

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/apollo