Movie-Recommender System (Netflix/YouTube)
A Data Science Project that you should include in your Resume
I was working on a data science project a few days ago when I learnt about the “Recommender System”. In this article, I’ll describe how I worked on this full-stack project and share the source code at the end. Let’s go over the project’s overall logic briefly.
Language Used: Python
Data from Kaggle: TMDb dataset
Framework used: Streamlit
Software Requirement: Jupyter Notebook and PyCharm
Hosted with: Heroku App
What is Recommender System?
- A recommendation system is a subclass of information filtering systems that attempts to predict a user’s preference for an item.
In layman’s terms, it is an algorithm that recommends relevant goods to users. For example, which movies to watch on Netflix, which products to buy on e-commerce, which books to read on Kindle, and so on.
Types of Recommender System:
There are 3 types of recommender systems: i) Content-based, ii) Collaborative-based and iii)…