Linear Regression in 2 minutes

Linear Regression in 2 minutes.
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Credit:
🐍 Manim and Python : github.com/3b1...
🐵 Blender3D: www.blender.org/
🗒️ Emacs: www.gnu.org/so...
Music/Sound: www.bensound.com
This video would not have been possible without the help of Gökçe Dayanıklı.

[@ionut.666]

This is a very good exercise for people who already know the topic, but want to learn new ways of explaining it to others in a very short time.

[@Diachron]

2 minutes makes for a good reminder if you are already familiar with the topic, but woefully short for a proper introduction.

[@naveedanwer8262]

Just learn how to speak slwoly and you will have more views

[@noname-anonymous-v7c]

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)

[@chahinezmazouzi2526]

Great content! it's so helpful to see mathematical concept visually explained! Thank you for making it so easy and available.

[@mamidalamani9636]

00:01 Linear regression predicts the value of a dependent variable based on an independent variable. 00:20 Linear regression helps predict new values based on existing data 00:38 Linear regression is useful for prediction problems. 00:55 Quantifying the fit of a line to data points 01:10 Solving a prediction machine learning problem using linear regression from scratch. 01:29 Linear regression is simple and extensible 01:49 Linear regression allows interpretation of coefficients 02:08 Linear regression involves finding the relationship between two variables.

[@TheKrasTel]

Your videos are absolutely stunning, only matter of time when the serious views will come in. Please keep doing these! :)

[@VisuallyExplained]

Thanks for the great feedback. stay tuned for more!

[@huntergarrigus368]

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

[@eudaimonia2120]

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

[@RohitKumar-dg2qt]

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

[@nancylopez5476]

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

[@menphishack22]

Cap

[@aerbon]

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.

[@noname-anonymous-v7c]

The formula is wrong. 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)

[@tanishqawasthi5664]

This Channel is Really Creating some masterpieces in Visually Explaining Some Really deep Concepts in Optimization, A.I & Machine Learning....The Art with which you Visually Explain Things is Truly Phenomenal, I've Been a Huge Fan of this Channel since DAY 1 ,Please Never Stop Creating this type of content ….. !!! As an Optimization Student ,Is There Any Way I can connect with you and help this channel create more good Content..??

[@VisuallyExplained]

Hey there, thanks a lot for watching! I am glad you enjoyed my channel. Feel free to DM me on twitter.

[@IncredibleSkillz-df4xk]

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!

[@Fakipo]

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

[@will201084]

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

[@Bedivine777angelprayer]

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

[@lammaituyen15]

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

[@RadicalRed0]

This was very helpful. Thank You

[@reinhardsilaen9594]

Please do Random Forest Regression and Knn Regression.

[@santhoshvavilala5397]

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

[@stefanrusu9895]

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?

[@KyloRen-o5g]

The formula is wrong.. he conveniently moved on...Read below many have commented on this....

[@dy5topian]

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

[@norivall7111]

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

[@sophiafunworldatthepark6740]

simple and easy to understand.

[@Ken08Odida]

Thank you. Perfectly simplified in 2 minutes. Now I can build on this basic understanding

[@nextexpertadvisors]

I used linear regression in my forex bot!

[@shubhampathak991]

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

[@amirabenkaidali2941]

Thank you sm for this simple explanation it helps a lotttt

[@EmiliaKaida]

Are you using manim for these presentations or something else ?

[@VisuallyExplained]

I am using a combination of manim, blender, and after effects.

[@EmiliaKaida]

@@VisuallyExplained Thanks

[@PritishMishra]

Amazing explanation and animations!

[@ranjanpal7217]

Amazing explnanation

[@duaaali3790]

Thank you so much for this amazing effort

[@janpoonthong]

Good video

[@alimortadahoumani1134]

great video only for those who already know it

[@samuraipiyush]

beautiful

[@MaríaFernandaRuiz-m4f]

Wooow great video!

[@T44enterprismalFORTE]

𝕃𝕠𝕤𝕤 𝕠𝕗 𝕒 𝕞𝕒𝕡

[@primate745]

This is very poorly explained.

[@learnwitharbia3477]

Just Amazing!

[@tohigherhighs]

What an actual boss of a video

[@idgaf0099]

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

[@AbdullaHernandez]

It's 2 minutes long, I'm sorry but what did you expect?

[@Justinjaro]

I learned what I needed form this. Did you think you're gonna learn everything from scratch from a 2 minute vid?

[@papang1749]

I do! I needed this video!!!

[@vishalvarakhedkar8816]

I’d suggest- Statquest Josh Starmer. For anyone zero-hero

[@idgaf0099]

@@vishalvarakhedkar8816 I love his ukulele videos, lol

[@SaharLive-j9t]

Thank you sir this one saves me

[@yashtibrewal4259]

Perfect video, thanks

[@VisuallyExplained]

You're welcome!

[@sohrabhashed1488]

Simple and nice thanks

[@developer_novice4237]

thank you for the python code!

[@madaweehathloul2045]

ابوس راسك ياشيخ

[@larissacury7714]

That's great!

[@ahlamouldkhesal5562]

that was life saving TSM!!!

[@aimiuwugodstand4210]

Mehn, great content

[@AuntirRanna]

loved it

[@vinayakmarv6873]

This is the best way for video lectures

[@omartakruri]

HOLY $H!T

[@calculate.]

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.

[@kunalsoni7681]

wow 😊✨

[@christinakujak5275]

Best explanation of linear regression that I've heard.

[@bheemeshd3101]

this is masterpiece of information you deserve more views

[@VisuallyExplained]

Thanks for the amazing comment!

[@user-jd1cy9gp3q]