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machinelearningprojects

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We implemented Linear Regression from scratch using the Normal Equation method and compared it with sklearn's implementation. The analysis demonstrates how Linear Regression fits a line to minimize squared errors between predictions and actual values. We visualized the regression line, analyzed residual plots to check model assumptions.

  • Updated Dec 22, 2025
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