Linear Regression in 2 minutes. ————— Credit score: Manim and Python : Blender3D: …

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Linear Regression in 2 minutes. ————— Credit score: Manim and Python : Blender3D: …

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Perfect video, thanks

this is masterpiece of information you deserve more views

Most awesome videos that explains things how they are suppose to be. Love it

Please do Random Forest Regression and Knn Regression.

Awesome video! I love how you explain every concept visually and easy to understand. Any chance on making a video on logistic regression as well?

Wow, you saved my life ! This is the most clear explanation about this topic. Loved it ! Love you !

HOLY $H!T

Nice ! Amazing enough for a beginner like me!! @@

wow very nice can you explain pandas and dataframe with all methods I am Ai student

Thank you sm for this simple explanation it helps a lotttt

What is 'n' in the formula for beta at 1:18?

I assume it is the number of points but I can't get my code to work so I'd like to be sure.

Thanks

Update: after some testing it is clear that the issue is either with the formula for alpha or my implementation of it.

Everything works when beta is 0, but as i change my sample to have a value of beta further and further from 0 alpha gets offset more and more for some reason.

i am about to go through my third re-write of the thing and i don't know what to change.

if anyone wants to try and figure out what is wrong then here's some results:

Sample: alpha = 0.5, beta = 0 Result: alpha = ~0.5

Sample: alpha = 0.5, beta = 50 Result: alpha = ~0.25

Sample: alpha = 0.5, beta = 100 Result: alpha = ~0

yes the error does grow linearly with beta.

Update 2: re-wrote it for the third time. still wrong in the exact same way. send help.

Can someone please explain how the gradient is applied to the summation over the square error term to produce the result shown at the bottom at 1:13

Just Amazing!

thank you for the python code!

ابوس راسك ياشيخ

Mehn, great content

Wooow great video!

Good video

Best explanation of linear regression that I've heard.

This is not a good video who wants to learn all of this stuff from scratch!

wow 😊✨

It's not lazy it's time wasting, why would anyone waste their time doing something that a program can give answers to we just need to understand it.

This was very helpful. Thank You

Thank you SOOO much for this video.. My intergated 1 teacher was absent today and I didn't understand the topic. I then stumbled upon this video and it helped alot. THANKS!

great video

only for those who already know it

Amazing explnanation

I went from a 1 minute explanation video to a 2 minute one :/

am i stupid or maybe with the double equations your gave you can't find values of alpha and beta because one equation is just multple of the other

that was life saving TSM!!!

That "gradient" wasn't explained. And your a definition is missing two n*.

I think I have a problem with the formula because when i try it to an example, it completely wrong.

simple and easy to understand.

1:20 the formula for alpha is wrong. dem = sum(x_i^2) – n*sum(x_i)^2, nom = n*sum(x_i * y_i) – sum(x_i)*sum(y_9)

How did we get those equations to solve for alpha and beta?

beautiful

Simple and nice thanks

Thank you sir this one saves me

please make your speech little slower so you can be heard without giving stress

This is very poorly explained.

Very well explained.. it helps to understand how the function does the job.. ignore negative comments..😅

What happened after 1:10, what was that gradient thing?

loved it

That's great!