Machine learning plays a crucial role in data science processes by enabling the analysis and prediction of patterns from large datasets. It automates data-driven decision-making through algorithms that learn and improve from experience. Data scientists use machine learning models to perform tasks like classification, regression, clustering, and anomaly detection. The process involves data preprocessing, feature selection, model training, and evaluation to derive actionable insights. Machine learning enhances the accuracy and efficiency of data science projects, making it indispensable in fields like finance, healthcare, and marketing. To gain expertise, consider enrolling in a comprehensive machine learning course.
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