FAQ: Linear Regression - Use Your Functions on Real Data

Frequently Asked Questions Python FAQ
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This community-built FAQ covers the “Use Your Functions on Real Data” exercise from the lesson “Linear Regression”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Data Science

Machine Learning

FAQs on the exercise Use Your Functions on Real Data

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3

Whats the difference between these two codes?

gradient_descent(X,y,num_iterations=1000, learning_rate=0.0001)

gradient_descent(X,y,1000, 0.0001)

I don’t understand why the second one is wrond.

3 Likes
4

Looking at the actual definition of the function gradient_descent(), it looks like this:

def gradient_descent(x, y, learning_rate, num_iterations):
  ...

In the hint of Step 2, the positions of learning_rate and num_iterations are reversed.

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5

The way the instructions are written makes it a bit confusing. I was coding as I was reading the instructions and so I (without looking at the previous function, since its in another file) didn’t look at the order of the parameters and this threw me off too.