How to Implement Simple Linear Regression in Python From Scratch

The Notebook: colab.research.google.com/dri...
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[@GregHogg]

Take my courses at mlnow.ai/!

[@imanitrecruiterineurope4142]

Hey Greg! Thanks a lot for the teaching material, it helps a bunch especially with understanding why some models may fit better or how to optimize them.

[@AMA_RILDO]

I like the way you explain the code LINE BY LINE. This is something other KZbinrs don’t 👍

[@GregHogg]

Absolutely. Thank you!

[@juansantamaria1982g]

Thank you Greg for teaching us for free, it is sad that this type of content doesn't get more views.

[@GregHogg]

You're very welcome! Other KZbinrs started before me, they deserve the views. 12,000 subscribers in less than a year is already much more than I thought was possible :)

[@magi4k]

Thank you a lot Greg, I love to understand what is behind each algorithm. This is also cool to gain some knowledge to make our own functions. You are awesome men, Keep it up ;).

[@GregHogg]

Yeah it really does help! No problem! :)

[@vascoguerreiro341]

very good video. thank you

[@arshcooks3471]

Awesome!!

[@GregHogg]

Thanks!!!

[@khaledsrrr]

nice

[@shashankjanageri1455]

how to get requirements.txt file

[@dickyfaizal6936]

Hello Mister the explanation you gave is very easy to understand for me who is just learning Machine Lerning, I am a new subbsciber, can you ask for help to make a continual learning tutorial using time Seris data? If you are willing, I will be very happy and may all your affairs be made easier always

[@CodeWithEric]

Hi ,informative content...

[@GregHogg]

Great to hear, thank you 😄

[@ayaanchoudhury7070]

What to do if we get an error saying "input y has NaN"

[@GregHogg]

Get rid of the NaNs

[@arsheyajain7055]

Wooooo!!!

[@GregHogg]

Yeah!!