This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.
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Updated
May 21, 2020 - Jupyter Notebook
This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.
In the IBM Watson Studio, there is a large collaborative community ecosystem of articles, datasets, notebooks, and other A.I. and ML. assets. Users of the system interact with all of this. This is a recommendation system project to enhance the user experience and connect them with assets. This personalizes the experience for each user.
Repository will contain the files and notebook for demonstrating the different recommendation systems using a memory based approach.
This Jupyter Notebook outlines my process as I create a movie recommendation system using matrix factorization. I use the public 100k MovieLens dataset.
This repo contains the implementation of netflix's original recommender system based on matrix factorization which changed the recommender systems forever 10 years back. Delve in to the notebooks to learn the intricacies of the magic box that knows your exact taste.
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
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