EDA & Preprocessing: handling missing values, encoding categorical features, normalization, and correlation analysis. KNN Model: training and evaluating a K-Nearest Neighbors classifier using ...

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In order to solve the problem that the data collected during the construction of ships contains noise and other undesirable factors, a new threshold function denoising method for ship experimental ...

In this paper Electromagnetic Compatibility (EMC) data is discussed and its effects on training a machine learning model. EMC data is inherently complex due to factors such as noise, high ...