Computer Architecture

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• Predictive Model: A predictive model is a statistical or machine learning algorithm that is trained on historical data to make predictions about future events or behaviors. The model uses input variables, also known as features, to generate an output variabl ... Read More >>
• Multiple Imputation: Multiple Imputation is a statistical technique used to handle missing data in a dataset. It involves creating multiple plausible imputations for the missing values, which are then analyzed using standard complete-data methods. The imputatio ... Read More >>
• Null Values: In data science, null values refer to missing or undefined data points in a dataset. These values can occur due to various reasons such as data entry errors, incomplete data, or data corruption during transmission. Null values can have a si ... Read More >>