A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
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Updated
Sep 21, 2017 - HTML
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"
Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles.
A natural language processing and machine learning project that predicts spam messages and explains how it does so
Evaluating k-nearest neighbors and singular value decomposition techniques for collaborative filtering recommender systems
🎑Student project - steganography in *.bmp images 🏢
Oldies but Goodies: A Recommender System for Netflix's Movie List Expansion
A simple code that utilizes least squares and singular value decomposition (SVD) to distinguish handwritten digits from the MNIST dataset
A movie recommender. Collaborative and content based filtering hybrid model.
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