Data Processing Frameworks

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• Machine Learning Models: Machine learning models are algorithms that can learn from data and make predictions or decisions without being explicitly programmed. These models use statistical techniques to identify patterns in data and use those patterns to make predi ... Read More >>
• Censored Data: Censored data is a type of data that is incomplete or partially missing due to some censoring mechanism. In data science, censoring refers to the process of hiding or obscuring certain parts of the data, either intentionally or unintentiona ... Read More >>
• Nominal: In data science, nominal refers to a type of categorical data that represents variables with no inherent order or ranking. Nominal data is used to label variables without providing any quantitative value or order. Examples of nominal data i ... Read More >>