A data analyst's skills are improved by machine learning, which automates difficult operations, reveals hidden patterns, and increases predicted accuracy. In contrast to conventional techniques, machine learning algorithms are capable of processing both structured and unstructured data in huge datasets with efficiency. It gives analysts the ability to create models for classification, anomaly detection, and forecasting, facilitating data-driven decision-making. Deeper insights and segmentation are made possible by methods like clustering and regression. Additionally, real-time analytics is made possible by machine learning, which is essential for sectors like healthcare and finance. Data analysts can move from descriptive to prescriptive and predictive analytics by incorporating machine learning.

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