FAQ: Logistic Regression - Linear Regression Approach


This community-built FAQ covers the “Linear Regression Approach” exercise from the lesson “Logistic Regression”.

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This exercise can be found in the following Codecademy content:

Machine Learning

FAQs on the exercise Linear Regression Approach

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When doing offline exercise Reggie’s Linear Regression, I found something interesting.

I think the correct result shoud be like “-10.0, -9.9, -9.8, -9.7, -9.6, -9.5, -9.4, -9.3, …”.
Does anyone know why?


if you use round, yes.

the problem you run into is explained in the python docs:



I agree that you should be getting the numbers without the long tails. I (and it seems many other users) used
i / 10 for i in range (-100,101) while the authors used:
i * 0.1 for i in range…

Yes you can/should read about floating points & why that happened, but I am wondering why the authors don’t correct this as our method finds a lower error AND the list comprehension creates the desired list (-10 to 10 in .1 increments)
Thoughts CA community?


the creator of the course wanted float values for some reason, multiplying by 0.1 achieves this

using i / 10 doesn’t guarantee float numbers across both major python versions. In programming, every approach has its advantages and drawbacks.

But not being aware of Floating Point Arithmetic limitations is also not good.