A data science tech stack combines programming languages, libraries, and tools for collecting, cleaning, analyzing, and modeling data. It powers predictive analytics and machine learning, enabling data scientists and engineers to derive actionable insights. Businesses leverage it to optimize decisions, while researchers use it for advanced statistical analysis.
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