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Challenge: Sum of Squared Error Calculator

Understand how to compute the Sum of Squared Error (SSE) for a given linear system in this lesson. Learn to implement the calculation using numpy in Python, apply it to example data, and grasp its role in evaluating linear regression accuracy.

Statement

Complete the calculateSSE function that accepts arrays, A, b, and wA,\ \bold{b},\ \text{and}\ \bold{w} representing a linear system and computes the Sum of Squared Error for the respective system in given w\bold{w}.

Example

A=[123 ...