CE1115 Data Science Mini Project: Movie Recommendation System

Welcome to the CE1115 Data Science Mini Project repository! This repository contains code and resources related to our mini-project, which focuses on building a Movie Recommendation System. Please note that the content is specific to the CE1115 course taken in 2021. Use it as a reference and cross-reference with your current course materials, as there may have been updates since then.

Table of Contents

Introduction

This repository serves as a resource for students who participated in the CE1115 Data Science course in 2021, specifically for the mini-project on creating a Movie Recommendation System. Here, you will find code and data related to the project.

Project Overview

Our mini-project focuses on the development of a Movie Recommendation System. The primary goals of this project are as follows:

  • Data Collection: We have collected movie data from TMDB (The Movie Database) to create a dataset for our recommendation system.

  • Recommendation Algorithms: We have implemented recommendation algorithms, including collaborative filtering and content-based filtering, to provide movie recommendations.

Usage

You are welcome to explore this repository to gain insights into the creation of a Movie Recommendation System. However, please keep in mind the following:

  • Outdated Content: The content in this repository is based on the 2021 course. Validate any information or code with your current course materials, as there may have been updates or changes.

  • Educational Use: This repository is intended for educational purposes. Feel free to use the code and data to enhance your understanding of Data Science concepts and Movie Recommendation Systems.

Contributing

We appreciate contributions from anyone interested in improving this repository. If you have enhancements, bug fixes, or additional resources related to the Movie Recommendation System or Data Science, please consider opening a pull request. Your contributions help keep this repository valuable for students and future projects.

Here's how you can contribute:

  1. Fork this repository to your own GitHub account.
  2. Create a new branch with a descriptive name for your changes.
  3. Make your updates, additions, or fixes to the code or data.
  4. Commit your changes and push them to your forked repository.
  5. Create a pull request to propose your changes for review.

Please ensure that your contributions align with the repository's GNU License and adhere to best practices for code organization.

License

This repository is provided under the GNU General Public License (GNU GPL). By using or contributing to this repository, you agree to comply with the terms and conditions specified in this license.

Thank you for using the CE1115 Data Science Mini Project repository, and we appreciate your contributions in making it a valuable resource for future students and Data Science enthusiasts!