This is my very first GitHub repository and it hosts a simple machine learning model for music genre classification, employing the DecisionTreeClassifier. The model is trained on a CSV-formatted music dataset, offering an easy-to-understand introduction to classification techniques.
#Features: Algorithm: DecisionTreeClassifier
Dataset: CSV-formatted music dataset
Inspiration: Derived from a YouTube tutorial @ Programming with Mosh
Usage: Quickly train and predict music genres using the provided code
Overview: The DecisionTreeClassifier is a classification algorithm that builds a tree-like structure based on input features, making it ideal for interpreting decision-making processes. In this project, it's applied to a music dataset to showcase its effectiveness in genre classification.