
DataScienceLifeCycle_003.pdf
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简介:
《DataScienceLifeCycle_003.pdf》是一份关于数据科学生命周期核心步骤的详细指南,包括数据收集、清洗、分析和可视化等内容。
Data Science lifecycle refers to the process of collecting, processing, analyzing, and interpreting data to extract meaningful insights. This cycle typically includes several key stages such as defining the business problem or question, data collection, exploratory data analysis, model building and validation, deployment, and monitoring. Each stage is crucial for ensuring that the outcomes are both accurate and useful in addressing real-world challenges.
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