Welcome to our learning resources for building a Netflix recommendation system using Node.js, Express, and a recommendation engine using Python! Below, you'll find a curated list of resources to help you understand the concepts and technologies involved in this project.
- Node.js Documentation: Official documentation for Node.js.
- Express.js Documentation: Official documentation for Express.js.
- Node.js Design Patterns: Book on design patterns in Node.js by Mario Casciaro.
- Netflix Recommendation System: Algorithms Behind the Curtain: Blog post series by Netflix Tech Blog on recommendation algorithms.
- Building a Netflix-style Recommender System in Python: Tutorial on building a recommendation system in Python.
- The Netflix Recommender System: Algorithms, Business Value, and Innovation: Research paper on the Netflix recommendation system by Yehuda Koren et al.
- Surprise Library Documentation: Documentation for the Surprise library, a Python scikit for building and analyzing recommender systems.
- Building Recommendation Systems in Python: Book on building recommendation systems in Python by Frank Kane.
- Hands-On Recommendation Systems with Python: Book on hands-on recommendation systems with Python by Rounak Banik.
- Machine Learning Crash Course: Google's crash course on machine learning.
- Kaggle: Platform for data science competitions and datasets.
- Scikit-learn Documentation: Documentation for the scikit-learn library for machine learning in Python.
Happy learning and happy coding! If you have any questions or need further assistance, feel free to reach out to us.