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

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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. Deployme…

movies deep-learning tensorflow imdb-rating embeddings matrix-factorization cosine-similarity lstm-neural-networks apriori-algorithm keras-tensorflow market-basket-analysis marketbasketanalysis apple-turicreate fast-api pywebio streamlit-webapp knn-recommenders
  • Updated Feb 11, 2024
  • Jupyter Notebook

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