A recommendation system is one such data science application that is used by almost all companies based on products and services on their website and software applications. In this article, I will introduce you to 4 data science projects on recommendation systems solved and explained using Python.
Data Science Projects on Recommendation Systems
If you want to get a data science job in a company based on products and services like Amazon, Netflix, etc., you need to have some projects on your resume based on what kind of apps the company is already using. Recommendation systems are a great example of such applications. Below are some of the best data science projects on recommendation systems using Python.
Spotify Recommendation System:
Spotify is one of the best platforms today to listen to music and podcasts. It is also a very popular application among the applications where the scikit-learn library in Python is used. Spotify uses the scikit-learn library to recommend podcasts and music to its users. You can also create such an application by using your data science skills. You can get this project solved and explained using Python from here.
Hotel Recommendation System:
Recommending hotels to a user according to his desired destination and the purpose of the trip is an amazing strategy to create a hotel recommendation system. For this, you can use so many factors like reviews of visitors, ratings given by them, and the description about the hotels. This will be one of the best projects on recommendation systems as you can show most of your stills here. You can get this project explained using Python from here.
Restaurant Recommendation System:
Recommending restaurants to the users based on the food items or other restaurants they look for is a great idea to create a restaurant recommendation system for applications like Zomato and Swiggy. This is also is a great use case for you if you are looking for a Data Science job. You can get this project explained using Python from here.
Amazon Recommendation System:
Among all the online shopping platforms, Amazon provides the best user experience to its customers. One of the most important factors that contribute to the user experience provided by Amazon is its recommendation system. You can try to build a recommender system just like way Amazon’s recommender systems works. After creating such an application you can try to build something where you can explain how you can make their recommendation system better. You can get this project solved and explained using Python from here.
So these were some of the best data science project on recommendation systems that you can try to boost your resume for getting a Data Science job in any product and services based company. I hope you liked this article on data science projects on recommendation systems with Python. Feel free to ask your valuable questions in the comments section below.