Song's Popularity Classification

Project Manager: Iana Mae Peralta

Team: Rinrada Maneenop, Alfredo Mendiola, Elianna Garcia

Created a classifier that predicts whether or not a song will be popular using training and testing dataset from Kaggle through data cleaning, feature engineering, exploratory data analysis, and data visualizations. Each team member implemented different models and compared the results of our models:

1. Rinrada Maneenop's Model: Random Forest
2. Alfredo Mendiola's Model: XGBoost
3. Elianna Garcia's Model : Neural Networks

Deliverables & Prsentation: https://docs.google.com/presentation/d/1egecSCmMgAlOOf-nm5xaF9RNsLUukPhhzeHpV6YHOQk/edit?usp=sharing