The Book Recommendation System based on Collaborative Filtering is a project that aims to provide personalized book recommendations to users by leveraging collaborative filtering techniques. Collaborative filtering is a popular approach in recommender systems that predicts a user's preferences by collecting information from multiple users who have similar tastes.

This repository contains an implementation of a book recommendation system based on collaborative filtering algorithms. It includes example code to demonstrate how the system can be used and customized.

#Dataset

https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset

The implementation requires the following dependencies:

Python 3.x NumPy Pandas

You can install the necessary dependencies by running pip install -r requirements.txt.