Music Recommender System

• This is the official repository for the BCS FAP (Freshers Amatuer Projects) - Music Recommender System
• Mentors of the project :

1. Udbhav Agarwal (udbhav-44)
2. Saaumitra Raaj (HitzJack)

• The aim of the project is to create a content-based music recommendation system using python by analysis various algorithms.

Project Timeline

The Project is set to have a tentative length of 5 weeks.

1. Week 1 - Basics of Python (Numpy, Pandas, Tensorflow, Etc)
2. Week 2 - Basics ML algorithms (Linear Regression, Logistic Regression)
3. Week 3 - Implementation of various recommendation algorithms
4. Week 4 - Building of final recommender model.
5. Week 5 - Model training and testing and further fine-tuning if needed.

Repo Setup

• Open your terminal (in case of Mac) or Cmd (Windows)
• Enter the following commands

git clone https://github.com/udbhav-44/Music-Recommender-System-BCS.git

• This will Clone the repository onto your local machine
• To Update/Sync the repo with the changes, run the following command:

cd /path/to/the/cloned/repo
git pull