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Scuffing is one of the most problematic failure mechanisms in lubricated mechanical components. It is a sudden and almost not predictable failure that often leads to extensive cost in terms of damages ...
As opposed to random forest algorithms, the objective of this study is to increment expectation rate involving a clever model of bidirectional encoder portrayals for transformers (BERT). The viability ...
Article citations More>> Widiyasono, A., Fakhrulddin, M. and Kusuma, Y. (2021) IoT Device Malware Detection Using Random Forest Algorithm. Proc. Int. Conf. Inf. Technol. Syst., 2021, 234-240. has been ...
The key idea is to use the strength of Linear Models to improve the nonparametric learning ability of tree-based algorithms. Firstly, a Linear Model is fitted on the whole dataset, then a Random ...
python data-science machine-learning numpy linear-regression sklearn pandas data-visualization seaborn healthcare data-analysis random-forest-regressor pandas-library gdown matplotlib-pyplot ...
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