TensorFlow - Core Learning Algorithms

Python
1

Tell us what’s happening:

I’m following the “Core Learning Algorithms” python notebook and in the section “How it works” there is this line of code: “plt.plot(np.unique(x), np.poly1d(np.polyfit(x, y, 1))(np.unique(x)))”

I know it creates a line following the equation y = mx + b, but I don’t know how to interpret it.
I’d like to receive assistance on this doubt.
Thank you.

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Challenge Information:

TensorFlow - Core Learning Algorithms

2

This line fits a linear polynomial to the data points (x , y) and evaluates the polynomial at the unique x-values, and plots the resulting best-fit line.