Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative ...

Abstract: In the digital era, both general and personal data and information such as credit card numbers, banking and biometrics are starting to be digitized. This digitization carries the risk of ...

Abstract: Reinforcement learning (RL) solutions such as the Hyper-Actor Critic model have effectively improved sessionbased recommendation systems because of their ability to capture and model the ...

A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on ...