This is a Content-based Recommendation System (CBRS) for Spotify developed using Spotify dataset available on Kaggle. The project is carried out in 2 parts - Data Transformation (Part 1) and EDA & Modelling (Part 2).
In the first part of the project, the existing Spotify dataset is transformed into a form that is more usable for modelling and developing the recommendation system. Part 2 involves Exploratory Data Analysis of this data and development of the CBRS.
The recommendation system is deployed using Strealit. Check it out here.
Pratham Sharma
Student at Vellore Institute of Technology, Vellore, Tamil Nadu, India
Reach out to me: prathams2425@gmail.com
LinkedIn profile: https://www.linkedin.com/in/prathamSharma25/
Kaggle profile: https://www.kaggle.com/prathamsharma123