knn-recommenders

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swap-253 / Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis
This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings. Besides this Market Basket Analysis using Apriori Algorithm has also been done. Deployment of Embedding Based Recommender Systems have also been done on local host using Streamlit, Fast API and PyWebIO.
apple-turicreate apriori-algorithm cosine-similarity deep-learning embeddings fast-api imdb-rating keras-tensorflow knn-recommenders lstm-neural-networks market-basket-analysis marketbasketanalysis matrix-factorization movies pywebio streamlit-webapp tensorflow
Language:Jupyter Notebook 8

swap-253 / Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis