Challenge II: Linear Regression

We'll test the concepts learned so far by applying them in a linear regression example.

We can consolidate our learning so far in a working example.

Since this course slightly favors machine or deep learning, we’ll practice with the ultimate 101 example: linear regression. In this challenge, you’ll build linear regression step-by-step.

Step 1: Regressor

Remember, linear regression fits the data point xx to a straight line:

y^=wx+b\hat{y} = wx+b

As a starter, this part simply requires us to implement the regressor, y^\hat{y}

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