At the heart of Data Science is data exploration and preparation, where raw data is cleaned, transformed, and organized for analysis. Statistical methods and machine learning algorithms are then applied to build predictive models and uncover relationships between variables. These models are used to make predictions, classify data, and understand complex phenomena.3
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