Database Management

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• Kanban: Kanban is a project management methodology that emphasizes on visualizing the workflow, limiting work in progress, and optimizing the flow of work. In Kanban, work items are represented as cards on a board and the progress of each item is t ... Read More >>
• Feature Importance: Feature Importance is a technique used in Data Science and Machine Learning to determine the most important features or variables that contribute the most to the performance of a model. It helps in identifying the key factors that affect th ... Read More >>
• L1 Regularization: L1 regularization, also known as Lasso regularization, is a technique used in machine learning and statistical models to prevent overfitting and improve the model's generalization performance. It adds a penalty term to the loss function of ... Read More >>