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Python implementation of the Least Squares Method for Linear Regression. Calculates the optimal line of best fit ($y=aX+b$) from user-input data points, determining coefficients $a$ and $b$, and allowing for direct prediction of new values.
Faridanada/Linear-Regression-Python
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Python implementation of the Least Squares Method for Linear Regression. Calculates the optimal line of best fit ($y=aX+b$) from user-input data points, determining coefficients $a$ and $b$, and allowing for direct prediction of new values.
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