Linear Regression From Scratch in Python (Mathematical)

In this video we implement the linear regression algorithm from scratch. This episode is highly mathematical.

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Timestamps:
(0:00) Intro
(0:19) Mathematical Theory
(12:48) Implementation From Scratch
(24:05) Outro

[MrTheBroMoe]

Please do more mathematical implementations like this please! This really helped me to understand the math behind these algorithms

[Ossigen]

I don’t comment often videos but this one is really good, you explained the math concept really well by doing the examples on the graph etc… Good stuff in this channel !

[cambridgebreaths]

I do like all your videos that contain the keywords "mathematical theory" and "from scratch" :). Please do more similar videos. Thank you kindly

[vardhanr]

AMAZING video!!! I love these videos which teach theory too! Thank youuu!!!

[PML]

That was just wow! The way you explained it was amazing.
Thank you!

[zukofire]

Thanks very much for this!! I am a data analysis student and close to giving up but still hanging on!

[nasr-rsln]

this video is amazing, good job, im now actually thinking about re visiting the math classes i couldn't take before in order to get better at these machine learning algorithims.

[SabarishanM]

I was searching everywhere and final found what I need. Your video really clears up the fundamentals of creating Linear Regression Model. Thank you

[prathamshah]

A really insightful video to learn this concept!! I found it very helpful !!
Just one suggestion @NeuralNine, please include the files (that you display in the video) in the description of the video.
Everything else is amazing and praiseworthy!

[santrix]

dude Slammer video!! love the fact that you made the math interesting and super easy to understand

[dragnar]

Damn !! I like your video so much, especially the implementation part. Most of the people would just directly use sklearn library and call it a day. But, you really have showed how the code actually runs behind the scene. 👍👍💛💛

[TheVerbalAxiom]

I am subscribing, definitely. You have taught in the most straight forward and explanatory way a concept that other videos made a bit too complicated. Thank you!

[kapilsonyt]

I recently stumbled upon this while looking for similar approach via python and I subscribed you now.
Thank you very much for imparting knowledge.

[LyamanOsmanlı]

hi, really you have the best videos in youtube. Your speaking is also very clear for me although my native language is not English. Thanks you very much it helps me very much, and i am in 17 years old.I want to improve and in my this way you help me.

[steviegillen]

Excellent video, although I will need to scrub up on my mathematics!! I think I am one of the few that loves looking at formulas and wonders; "What in the hell is going on there?" 😆😆

[atharezzeldin]

I really appreciate the time and the effort to simplify such a thing, Thanks a bunch 🌹🌹🌹🌹

[bluestar]

Yes, please do more videos like this one. Even Einstein gives it 2 thumbs up! :)

[AkhilendraOjhaBME]

Greatly explained in simple words, looking forward to learn more methods from you.

[unknowncorsairtim]

Awesome tutorial! Could you please explain why you use gradient descent to minimize squared error instead of using the formula: divide the standard deviation of y values by the standard deviation of x values and then multiply this by the correlation between x and y?

[graphicsguy]

Thanks man! Awesome video that dumbed it down enough for me. Could you do linear regression of fitting a sphere to points given the sphere radius (or not) like is used in terrestrial laser scanning? If you've never messed with it, you place spheres around what you are scanning, then the software uses the spheres to align all of the different scans at different locations together.