Interview Prep Day 2- Linear Regression Interview Question-The Most Important Algorithm In ML & DS🔥🔥

In this video we will be understanding the important interview questions that are usually asked regarding Linear Regression
It is must for every data science aspirants

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[riteshtripathi]

I don't understand why these dislikes for some one who is making efforts to teach us, dedicating their time for us, and on that for FREE.... What is their to dislike in Krish's videos...it pains to see we got useless creatures disliking..

[BlasterMate]

The normality assumption for linear regression applies to the errors, not the outcome variable per se (and most certainly not to the explanatory variables). The usual statement is that the errors are i.i.d. (i.e., independently and identically distributed) as Normal with a mean of 0 and some variance.

[jayantdikshit]

This series will be the best amongst all. I am pretty sure that this series will accelerate us to land in field of ML & DL.
Thanks Krish for all these efforts

[b__]

I have no words to thank you. Your videos have helped me a great deal in understanding Data Science. I will be able to switch my career finally. I owe you a big THANKS :)

[ravalimamidala]

Hi sir
I made a video on YouTube channels for Data science.
I'm happy to say that your channel also included in video
And your explanation is so clear.
Thank you

[sumedhasharma]

Linear regression does not make any assumptions about the distributions of the dependent and independent variable to be normally distributed. I believe Point 4 in assumption is incorrect because most of the online resources does not mention this.

[darogajee]

Where is the link for list of videos . ???

[shahnawazkhan]

great sir you are my mentor i follow all your videos.

[rezajahangiri]

Thank you Krish, you are awesome. I am following most of your videos.

[KnowledgeAmplifier]

If you're using the analytical solution(OLS regression, instead of gradient descent algorithm) for creating the Linear Regression Model, feature scaling won't be of much use.

[nicemeetyou]

This is amazing content!
Thank you Krish

[mayankyogi]

Doing great job sir!! Keep going, this will help a lot.

[nikhilshingadiya]

Your video is very good sir, but here I want to add on more regression multilevel regression and selection of feature engineering we can use hypothesis testing (p values) 👍

[kaviisuri]

Sir, you are a life saver, this is very helpful ❤️

[siyays]

Thanku so much, helpful n interesting video

[boredeggyolk]

I just went into deep learning into this particular algorithm. It seems interesting

[peterlouis]

Krish sir...if someone has accounting experience much hours/months required to learn AI which is required for accounting & finance field???

[unezkazi]

yeh kyu band kar diya sir???? please continue this

[mayanksharma]

amazing Krish Your true motivation with learning for journey in Data science :)

[MrChristian]

Krish is the shit man! Awesome stuff! 👍