This is the final project made during my internship in Technocolabs. In this project, we were given two files, a CSV file containing data about music track title, composer, label, and many other features including track genre. The JSON file consists of technical details about a soundtrack including valence and danceability.
We were given the task to build a classifier for this dataset which was highly unbalanced and then deploying that model to any of the cloud services.
Sure, here you go: Music Genre Predict
- Python (Langauge)
- Libraries:
- Numpy (Data Manipulation)
- Pandas (Data Manipulation)
- Seaborn (Data Visualization)
- Sklearn (Model Building)
- Flask (Model Deployment)
- HTML (Web interface)
- CSS (Web enhancement)
- Heroku (Website Deployment)