Two Movie recommenders deployed on Flask app. The recommender are build on NMF and Cosine Similarity model, trained on MovieLens 100k, and automatically updated every 12 hour!
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Aug 26, 2021 - Python
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mice-algorithm
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A webapp for recommending movies based on two models: collaborative filtering with non-negative matrix factorisation and k-nearest neighbours algorithm.
python collaborative-filtering flask-application unsupervised-learning recommender-systems knn nmf random-forest-regressor mice-algorithm
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Aug 31, 2021 - Python
Multiple imputation with chained equation implemented from scratch. This is a low performance implementation meant for pedagogical purposes only.
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Jan 23, 2023 - Python
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