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• Imputations: In data science, imputation is the process of replacing missing data with substituted values. This is done to improve the accuracy and completeness of the data set. Imputation can be done using various techniques such as mean imputation, mo ... Read More >>
• Semantic Web: Semantic Web is an extension of the World Wide Web that enables machines to understand and interpret the meaning of information on the internet. It is a framework for sharing and reusing data across applications, enterprises, and communitie ... Read More >>
• Underfitting: Underfitting is a common problem in machine learning where a model is too simple to capture the underlying patterns in the data. This occurs when the model is not complex enough to fit the training data, resulting in poor performance on bot ... Read More >>