Project purpose: to recognize the year in which a song was published based on the features of its audio track.
To carry out a data analytics study we implemented all the analytical pipeline:
- Data Acquisition
- Data Visualization
- Data Preprocessing
- Modeling with
- Linear Regression
- Random Forest
- K-Nearest Neighbors
- Support Vector Regressor
- Deep Neural Network
- TabNet
- TabTransformer
- Performance Evaluation
The csv file can be found here.
Project authors: Claudia Citera, Riccardo Evangelisti