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Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...
In addition, to further enhance the localization accuracy, boundary aware KNN (B-KNN) is proposed to adaptively deal with fingerprint matching according to inner area or boundary area. Extensive ...
In this paper, a CM method that is based on the KNN regression method and bagging ensemble strategy is proposed. The proposed method is validated by SCADA data collected from a field WT. The results ...
Ce projet vise à segmenter les clients en fonction de leurs habitudes d'achat, leur ancienneté et leur récence. Grâce à KMeans, nous avons identifié 3 groupes distincts qui permettent une meilleure ...
LASSO regression modeling using Python scikit-learn package ... reached 0.877 in the training cohort and 0.828 in the test cohort. The AUC value of the KNN model was 0.855 in the training cohort and 0 ...
Tokenizers for embedding models are not often implemented in languages other than Python. This becomes a major obstacle when trying to use embedding models in languages like C# or Java. Developers ...