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)…