kk289/ML-Anomaly_Detection_and_Recommender_Systems-MATLAB kk289/ML-Anomaly_Detection_and_Recommender_Systems-MATLAB

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kk289/ML-Anomaly_Detection_and_Recommender_Systems-MATLAB
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Implement the anomaly detection algorithm which is widely used in fraud detection (e.g. ‘has this credit card been stolen?’) and apply it to detect failing servers on a network. And use collaborative filtering to build a recommender system for movies, which are used by companies like Amazon, Netflix, and Apple to recommend products to their users. Recommender systems look at patterns of activities between different users and different products to produce these recommendations.

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