MachineLearning-SpotifyGenrePrediction

Machine learning classification take-home project for an interview with Thrasio, a mass Amazon FBA Buyer

Background:

• Spotify has an internal tool that gives songs various attributes like dancibility, loudness, popularity, etc.
• Given a dataset of songs with these attributes, we are interested in predicting the genre of the song.
• Accuracy was the most important metric to take into consideration

In the Notebook:

1. EDA and Feature Engineering
2. Model training and hyper-parameter tuning
3. Model accuracy interpretation

I utilized the Random Forest and Logistic Regression for classification, and received a max accuracy of >92%