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Graph-based recommendation engine for academic articles using PageRank algorithms, incorporating content-based and collaborative filtering techniques. Utilized Python, PyTorch, NetworkX, and the igraph library to analyze a dataset from the DBLP Network
In this notebook, I will attempt at implementing a few recommendation algorithms (content based, popularity based and collaborative filtering) and try to build an ensemble of these models to come up with our final recommendation system.
This Repo contains various Machine learning Algorithm including Linear regression, Logistic regression, Neural Networks, SVM, Clustering algorithms, K-means Algorithm, Anomaly detection, and Recommander system etc...
Avec l'émergence des TIC et la démocratisation de la production de contenu sur internet, on assiste à un tsunami informationnel. Ce dernier est très difficile à gérer manuellement, et même les outils informatiques classiques peinent à offrir des résultats concluants. Les journaux et les sites d'information contribuent pleinement à ce contenu, ce…