Seven core ML algorithms — Linear Regression, Decision Trees, Random Forest, SVM, and KNN — handle most real-world use cases, from price prediction to customer segmentation, despite the field often seeming complex.

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Machine learning powers everyday tools like face recognition and shopping recommendations, but the algorithms behind them can feel overwhelming. Seven core algorithms — including Linear Regression, Decision Trees, Random Forest, SVM, and KNN — cover most real-world problems, from predicting house prices to grouping customers by spending behavior.

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