Linear Regression in 2 minutes 

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.

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

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

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

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

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

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

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..??

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.

Amazing explanation and animations!

Thank you so much for this amazing effort

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?

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

Thank you sm for this simple explanation it helps a lotttt

simple and easy to understand.

Just Amazing!

This is the best way for video lectures

beautiful

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)

this is masterpiece of information you deserve more views

This was very helpful. Thank You

What an actual boss of a video

that was life saving TSM!!!

Wooow great video!

Perfect video, thanks

Best explanation of linear regression that I've heard.

That's great!

Amazing explnanation

Good video

loved it

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

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

Please do Random Forest Regression and Knn Regression.

Simple and nice thanks

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

Are you using manim for these presentations or something else ?

Thank you sir this one saves me

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

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

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.

great video only for those who already know it

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

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

wow 😊✨

thank you for the python code!

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

Mehn, great content

I used linear regression in my forex bot!

HOLY $H!T

𝕃𝕠𝕤𝕤 𝕠𝕗 𝕒 𝕞𝕒𝕡

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.

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

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

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

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

This is very poorly explained.