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St. Michael and All Group

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Predictive Analytics: Concepts, Techniques, Applications, and Challenges

1. Introduction to Predictive Analytics

Predictive analytics is a branch of Data Science that focuses on using historical data, statistical algorithms, and machine learning techniques to forecast future outcomes. It transforms raw data into actionable insights by identifying patterns, trends, and relationships. Organizations across industries rely on predictive analytics to anticipate risks, optimize operations, and improve decision-making. Unlike descriptive analytics, which explains past events, predictive analytics provides probabilistic insights into what is likely to happen next.

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