Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Abstract: Fuel efficiency prediction model with TensorFlow, analyzing key vehicle parameters to better inform sustainable auto design and consumer decisionmaking. This model uses the dataset of auto ...
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