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• Robustness: Robustness refers to the ability of a model or system to perform well and maintain its performance under different conditions, such as changes in the input data, presence of outliers, or variations in the environment. In data science and ar ... Read More >>
• Feature Scaling: Feature scaling is a technique used in data preprocessing to standardize the range of independent variables or features of a dataset. It is done to ensure that all the features contribute equally to the analysis and to prevent features with ... Read More >>
• Dplyr: Dplyr is a powerful R package for data manipulation that provides a set of verbs to perform common data manipulation tasks such as filtering, selecting, arranging, summarizing, and joining data frames. It is designed to work efficiently wit ... Read More >>