https://github.com/vikascd/netflix-recommender-system
Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.
https://github.com/vikascd/netflix-recommender-system
dbscan expectation-maximization-algorithm factor-analysis google-colab heroku jupyter-notebook linear-discriminant-analysis matrix-decompositions multinomial-naive-bayes naive-bayes netflix-recommendation-system paper-implementations pearson-correlation support-vector-machine
Last synced: 5 months ago
JSON representation
Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.
- Host: GitHub
- URL: https://github.com/vikascd/netflix-recommender-system
- Owner: Vikascd
- Created: 2025-03-30T13:16:38.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-30T14:44:42.000Z (8 months ago)
- Last Synced: 2025-03-30T15:23:18.303Z (8 months ago)
- Topics: dbscan, expectation-maximization-algorithm, factor-analysis, google-colab, heroku, jupyter-notebook, linear-discriminant-analysis, matrix-decompositions, multinomial-naive-bayes, naive-bayes, netflix-recommendation-system, paper-implementations, pearson-correlation, support-vector-machine
- Language: Jupyter Notebook
- Size: 2.84 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎬 Netflix Recommender System 🍿
Welcome to the Netflix Recommender System repository! Here, you will find an interactive system for recommending Netflix titles based on content. This system allows you to filter titles by various criteria such as title, genre, and type of content (movies or series) using a user-friendly interface within a Jupyter Notebook.
## Overview ℹ️
The "Netflix-Recommender-System" repository is a project focused on content-based recommendation, data analysis, exploratory data analysis (EDA), interactive widgets using ipywidgets, Jupyter Notebook, machine learning, movies, Netflix, Python, and recommender systems.
## Features ✨
- **Content-Based Recommendations**: Get personalized recommendations based on your preferences.
- **Interactive Interface**: Easily filter and explore Netflix titles within the Jupyter Notebook environment.
- **Wide Range of Topics**: Dive into data analysis, machine learning, and Netflix content all in one project.
## How to Use 📝
To access the interactive Netflix Recommender System, visit the [Releases](https://github.com/Vikascd/Netflix-Recommender-System/releases) section and download the necessary file for execution.
## Technologies Used 🛠️
- Python
- Jupyter Notebook
- Machine Learning
- ipywidgets
## Getting Started 🚀
To get started with the Netflix Recommender System:
1. Download the required file from the [Releases](https://github.com/Vikascd/Netflix-Recommender-System/releases) section.
2. Open the file in Jupyter Notebook.
3. Follow the instructions to start exploring and filtering Netflix titles.
## Example 📷
Here's a glimpse of what the Netflix Recommender System interface might look like:
## Contributing 🤝
If you are interested in contributing to the Netflix Recommender System project, feel free to fork the repository and submit a pull request with your enhancements.
## Support 📧
For any questions or issues regarding the Netflix Recommender System, please reach out to our team at [example@email.com](mailto:example@email.com).
---
Feel free to explore the world of Netflix content with the Netflix Recommender System! Enjoy personalized recommendations and dive into the vast array of movies and series available on the platform. Download the system now and start discovering your next binge-worthy watch! 🌟