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This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.
This Recommendation system will use your playlist and your friend’s playlist and combine them to make the perfect curated playlist consisting of songs that cater to the tastes of both you and your friend.
Content Based Recommendation System. This is a video recommendation system that uses the input variables Like,Share,Download,Bookmark,Comment to recommend a video
This project focuses on how pricing of AirBnB houses differ according to neighborhoods. It also looks on how important the description of the house is and how a customer is swayed by it. The Data set has been taken from Kaggle.
Repository containing analysis of user-article interactions from IBM Watson Studio data. The aim is to create a more personalized recommendation for each user