Prototypes

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• Main Memory: Main memory, also known as primary memory or RAM (Random Access Memory), is the internal memory of a computer where data and instructions are stored temporarily during processing. It is a volatile memory, meaning that its contents are lost ... Read More >>
• Undersampling: Undersampling is a technique used in data science to balance imbalanced datasets. It involves reducing the number of instances in the majority class to match the number of instances in the minority class. This is done by randomly selecting ... Read More >>
• Feature Selection: Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. It is an important step in the machine learning pipeline as it helps to improve model performance, reduce ove ... Read More >>