Sprint

Sprint is a time-boxed period during which a team works to complete a set amount of work. In Data Science context, a sprint is a short, iterative cycle of work that typically lasts one to four weeks. It is a part of the Agile methodology and is used to manage and prioritize tasks in a project. During a sprint, the team focuses on completing a specific set of tasks, which are defined in the sprint backlog. At the end of the sprint, the team reviews the work completed and adjusts their approach for the next sprint. Sprints help to break down complex projects into smaller, more manageable tasks, and allow for more frequent feedback and collaboration between team members.

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OSI Model: The OSI (Open Systems Interconnection) Model is a conceptual framework used to describe the communication functions of a telecommunication or computing system. It divides the communication process into seven layers, each layer performing a ... Read More >>
Transcription: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any predefined labels or target variables. The goal of unsupervised learning is to identify patterns and relationships within the data, and ... Read More >>
Hierarchical Arrangement: Hierarchical Arrangement is a method of organizing data or information in a tree-like structure where each node represents a category or subcategory. The topmost node is the root node, and it branches out to several child nodes, which can f ... Read More >>

Sprint

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