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• Timestamps: In data science, timestamps refer to the specific points in time when an event occurred or a piece of data was collected. Timestamps are used to track changes over time and to analyze patterns and trends in data. They are often used in time ... 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 >>
• Locks: In Data Science, locks refer to a synchronization mechanism used to control access to shared resources in a multi-threaded or distributed environment. Locks are used to prevent multiple threads or processes from accessing the same resource ... Read More >>