Phase

In Data Science, a phase refers to a distinct stage or step in a project or process that involves the use of data to gain insights or solve a problem. Each phase typically has a specific objective and set of tasks that must be completed before moving on to the next phase. The phases of a data science project may include problem definition, data collection, data cleaning and preprocessing, exploratory data analysis, feature engineering, model selection and training, model evaluation, and deployment. The purpose of dividing a project into phases is to ensure that each step is completed thoroughly and accurately, and to provide a clear structure for the project team to follow. This approach helps to minimize errors and ensure that the final results are reliable and actionable.
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