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Why Do We Need to Perform Feature Scaling?

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Hello All,
In this video we will be understanding why do we need to perform Feature Scaling. Happy Learning!!
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Опубликовано:

14 авг 2019

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Комментарии : 136

@Official-tk3nc 4 года назад

If you are watching this in lockdown believe me you are one of the rare species on the earth who are working hard to achieve something in their life. Many students are wasting their time watching youtube , playing games, pubg, watching webseries, netflix, etc, all the best, nitjstudenthere.

@shoaibsh2872 4 года назад

Thanx bro for that comment :D

@justanaverageguy4739 4 года назад

thanku bro i got today's motivation

@nabiltech1366 3 года назад

Yup bro.

@masthanjinostra2981 3 года назад

It’s too late

@makrandrastogi5588 3 года назад

@@masthanjinostra2981 its never too late bro !!

@ulysses_grant 4 года назад

May God reward you in centuple for your work sir. We can see you are really know what you are teaching, and that you are passionate about teaching it. Thank you.

@benvelloor 4 года назад

You had mentioned that Feature scaling helps speed up algorithms which use gradient descent. Even though Xgboost is an ensemble learning algorithm, it uses gradient descent to calculate the loss of each model before passing on the wrongly calculated data points into the next model. Isn't it advised to use feature scaling for xgboost then?

@nyinyisoe3604 3 года назад

This is a very clear explanation of what really scaling is. Thanks for uploading this video.

@qamilmirza4739 3 года назад

This is amazing content man! Decided to learn ML during lockdown and your videos have been great in explaining the technical aspects when it comes to data. Keep it up!

@AManKumar-pz6et 5 лет назад

Making video might be of 3 reason 1. You want to learn 2. You want other to learn 3 both 1 and 2 If you want 1 then keep continue Else please make a systematic video or make a website like where any one can learn you can also make it paid if you want but in minimum cost like 2999 or 3999 rs. This would be very helpful for you and others.. Its just an advice. Thank you.

@krishnaik06 5 лет назад

Sure I am planning to start some online courses with a minimum amount

@yingjiedong3568 2 года назад

Wow, you are a amazing instructor of Machine learning. I am so lucky to find your videos. Your explanation is clear and easy to understand. I can tell you really understand and have experience as well. Thank You!

@MasterofPlay7 4 года назад

what does linear regression have to do with gradient descent? I think the purpose of standardization in linear regression is cuz to reduce the effect of extreme values/outliers have on the model

@aryansinha1564 2 года назад

Parameter optimization for linear regression is done by gradient descent

@YashSharma-eq3sn 10 месяцев назад

This was helpful. Easy and quick answer to the question beautifully explained.

@Lucia-el6ex Год назад

Gracias por compartir todos tus conocimientos con la comunidad! Eres un crack!

@eleanortay7351 11 месяцев назад

Grateful for all the knowledge you have shared. It makes my learning journey much more interesting and easier to remember the key concepts now. 🙏🙏🙏😊

@dontgiveup5271 2 года назад

Nice!! Simple and clear explanation

@akhileshkumar-mu8gb Год назад

your classes are really helpful in understanding the basics of ML.

@m0tivati0n71 Год назад

Wow, very succinct and simple explanation. Thank you.

@siddharthdhingra1 5 лет назад

I wait for your videos every day... You explain so well. Keep up the good work! :)

@jamesclicks1344 2 года назад

That make sense! Thanks. It's like using "log" when a dataset has a very high standard deviation

@RahulDable 3 года назад

Thanks for highlighting SGD here, never thought in that way. Great Intuition.

@jithinkgeorge2237 5 лет назад

Started watching your channel from last week, Such a great videos.

@pranjalgupta9427 4 года назад

Nice explaination

@rpnsamuelaigbornajohn9096 5 месяцев назад

thanks alot for this now i know when to use scaling and when not to use scaling

@zulfiqarali-zq1rg 4 года назад

I got something new is your every video that is very important for my project .thx

@Person-hb3dv 2 года назад

explained way better than so many paid courses

@ankitganeshpurkar 3 года назад

Should be we perform feature scaling in SVM, Naive Bayes, logistic regression and stochastic gradient descent??

@ankitganeshpurkar 3 года назад

If yes, then which method should be preferred

@_HrickKarnaRoy 4 года назад

Amaizing vid brother just impressed.... Nice way to explain..

@atoffice7323 3 года назад

very good bro.. amazing

@tirumaleshn8504 4 года назад

Krish Naik sir! You were amaze with this approach of teaching. A lot better than online courses. And sir, pls arrange videos of playlist in sequence.

@khushalivaghani61 5 лет назад

Hello sir, All the videos related to ML posted by you are really helpful. Your teaching methodology is also very nice and I can learn easily. Can you make a video related to Audio Processing/ Speaker Diarization? As I want to dive deep in Speaker separation from the audio recording. It might be useful to others also. Thank you.

@Gaaravify 2 года назад

amazing explanation, thank u bro

@fahdciwan8709 4 года назад

thanks brother!! found this very helpful

@amilachathuranga5541 2 года назад

thank you..understood well.

@AllRound8255 Год назад

This kind of content😍

@deeplearningwithjay 2 года назад

Thank You Sir , The Scaling makes so much sense now

@deepaktiwari54 5 лет назад

Sir, please make video on github, how to use it, how it is help to make profile stronger.

@palavirajgude5717 4 года назад

you talked less about why scaling is important, i didnt get it, practical examples would have been better

@sujanpoojary5284 3 года назад

i think in his stats video on snd he explained

@geraldlivingstone8104 4 года назад

Krish - Great job and thank you for posting, better than my MBA professor presented, I now understand.

@PuneethSaiBhaskar 4 года назад

pleade do make a video on how to select features only required for the dependent variable . (when there are hell lot of variables/features ) :)

@appliedskill 3 года назад

Something is known as forward selection strategies. You can apply this idea

@uttamgupta5653 Год назад

Sir mere liye toh aap hi Andrew NG sir ho thanks sir for this all content

@abirbiba3307 4 месяца назад

Thank you so much ❤

@mrrasel871 4 года назад

Great! I want to say I am enjoying your each and every tutorial not only learning.

@tanaygupta2865 3 года назад

Nicely explained. :) Thanks K. NAIK. :)

@sadiasafdar4788 2 года назад

hello sir, perfect explaination. please can you make vodeo , how to perform CNN on matlab using image dataset..... i will be greatfull to u for this.

@windaseptarini9647 3 года назад

Thank you for clear explanation

@dkhundley 3 года назад

Excellent video!

@adwaitpande11 4 года назад

Is there a scenario where feature scaling may adversely affect the algorithm?

@souravbiswas6892 3 года назад

@appliedskill 3 года назад

Think about salary in two different currency. Does feature scaling in this case??

@dimitrisproios1860 3 года назад

@@souravbiswas6892 is there a proof?

@souravbiswas6892 3 года назад

@@appliedskill absolutely

@souravbiswas6892 3 года назад

@@dimitrisproios1860 build the model without applying feature scaling, you will get the proof 😄

@alon.hartman 2 месяца назад

thank very muhn blud really aprewcite it fromi srael !

@leoyuanluo 3 года назад

voice of reason!

@0SIGMA 3 года назад

if there are classification problems, we should do encoding first and feature scale over it ?

@saqibkhanbhai1859 4 года назад

Helpful explanation. Thanks.

@atiladursun7075 3 года назад

Good explanation man thanks

@md.khaledhasan8191 3 года назад

Well explained

@wildananugrah 3 года назад

thank you for the video, it has enlightened me

@sandipansarkar9211 2 года назад

finished watching

@MrKB_SSJ2 2 года назад

Thank You...

@vrushankkhadgi9118 3 года назад

Nice jacket sir

@SahilShah-cd5bi 2 года назад

Do we need feature scaling for dataset containing values only 1,0, -1 only

@arcsaber1127 2 года назад

So basically perform scaling wherever gradient descent or euclidian distance is used?

@abhishekshrivastav6193 4 года назад

awesome sir....!!!!

@apoorvasrini2196 2 года назад

Doesn't XGBoost use Gradient descent to find the the minimum of loss function? Shouldn't we use scaling in that case?

@Pride_Of_Ultras 2 года назад

Love the way u speak :D

@cutyoopsmoments2800 5 лет назад

Bro, is features engineering linked to the machine learning???

@zenilroy1793 4 года назад

Yes it is part of data preprocessing

@tempura_edward4330 4 года назад

great video! thank you !

@NadinMagdy 4 года назад

I'm still not sure why it is bad to have a big range of numbers, scaling for the normal number or if feature scaled between 0 and 1, will end up giving the same curve shape if the axis scales are adjusted, can someone help me undertsand

@manavshah2119 3 года назад

Sir please can you given some practical video on this on real data sets

@himalayasinghsheoran1255 4 года назад

Thanks for the video :)

@adiflorense1477 4 года назад

7:32 sir, what about naive bayes

@appliedskill 3 года назад

It is classification algorithm (Idea came from Baye's theorem). It works very well in text or spam classification problem. For more information you can read others blogs on internet

@mohammadarif8057 4 года назад

Can you specify from which of your playlist is this video is from

@muhammadshariqkhan6065 3 года назад

I have trained my model on international data based on Decision tree algorithm but when it comes to test set that is based upon pakistani data . So the answers are not coming out to be same because the data set on which the model was trained with the features was not having mentioned any units and in my test data , I have the units as well. So how feature scaling is not important for this particular case i.e. linked with Decision tree algorithm ? do reply

@nandhukumar86 3 года назад

How about Naive Bayes, it does not deal with any distance but the probability. If my understanding is correct NB doesn't need Feature scaling?

@appliedskill 3 года назад

Yes, You are correct.

@vishalkap62 5 лет назад

Do we need to scale our dependent variable Y, as well...

@ashishdwivedi575 5 лет назад

Sir who have an upper edge in data science a cs btech or stats undergrad student

@mashalnabh2747 4 года назад

B Tech, even if its Mechanical :)

@ayushmangupta6682 Год назад

I am seeing this video and I want the material but google form is closed so if possible can you share the material please

@mercyjhansi8190 2 года назад

Is scaling necessary for LinearRegression (OLS)?

@lijinhui6902 4 года назад

thx so much

@nihalshukla7718 3 года назад

Hello sir can you organize your statistics and feature engineering playlist. I think it is not in sequence.

@ladan1360 4 года назад

Thank you 👌

@rudrapavankumar4607 4 года назад

super sir

@abhishekdubey2328 3 года назад

we can use feature scaling on SVR ? it is recommended or not.

@RahulKumar-lv9yz 3 года назад

Did anyone get the feature engineering material that Krish keeps on mentioning? If yes, can you share it?

@thelastcipher9135 3 года назад

Why does scaling not skew the data? I understand why it makes the algorithm more efficient, but I feel like scaling skews the results. Why does it not seem to be the case?

@Letsbetog 3 года назад

can i use feature scaling in Polynomial regression?

@hariprasad1744 4 года назад

Hi krish, I am unable fill the google form, it is no longer available. Can you please help me

@siddhantagarwal431 5 лет назад

Sir can we use java for AI and ML (like weka and deeplearning4j frameworks)

@krishnaik06 5 лет назад

Yes u can definitely

@siddhantagarwal431 5 лет назад

So sir why not companies using java over python because it us faster than python , highly portable , better concurrency etc

@chakrapani_nallam 4 года назад

@@siddhantagarwal431 Python can do lot..more than just few machine learning libraries..it can do preprocessing, visualization and you almost have libraries to work on anything.. it's very.powerful and writing code is easy!

@tirumaleshn8504 4 года назад

@@siddhantagarwal431 @Siddhant agarwal i think all there previous work were done in other programming languages such as java and all. But when python entered, they may feel difficult to convert them to python.

@aguyfromparalleluniverse 2 года назад

thats how you earn a subscriber

@ninjawarrior_1602 4 года назад

i still have doubt that how does scaling helps because even after scaling the relative distance doesnt change

@shankar3109 4 года назад

Computing gets faster

@ninjawarrior_1602 4 года назад

@@shankar3109 ok thanx mate

@GelsYT 4 года назад

Thank you so much sir Krish! You explained it very well thank you! because of you I clearly understand it now THANK YOU!!

@abhishekshrivastav6193 4 года назад

Sir I didn't get what actually fit and transform do.

@nirajsharma7384 4 года назад

Sir their is no video for feature scaling

@letslearndatasciencetogeth479 4 года назад

can someone please share the materials

@SP-jv5lv 5 лет назад

Hiii bro.. Im passout this year in entc stream. I don't have knowledg of programming. Im going to learn java directly... Can i go direct or learn first c or c++?? Please answer 🙏 Then im going to machine learning.

@himanshubhandari1783 4 года назад

Go direct.. go for python

@kumarrishu3026 5 лет назад

Sir can language like c++ or java can get us jobs

@krishnaik06 5 лет назад

Yes they can...

@husnaramohammed8881 3 года назад

sir iam ur new subscriber can u please share the material with me

@lakshmisri8978 3 года назад

What about logistic regression?

@shubhamchoudhary5461 3 года назад

Yes. Logistics regression also requires feature scaling...

@lakshmisri8978 3 года назад

@@shubhamchoudhary5461 Okay thank you! Great video btw!

@vineethtangedudona9672 Год назад

@@lakshmisri8978 logistic regression can be trained without scaling .

@Nobin12346 3 года назад

@nabiltech1366 3 года назад

My fav netflix series

@devendunegi247 3 года назад

your intent is good but i would say try to explain in such a way that a layman would understand what you are trying to tell...like you did not explain 'why' a lot you just told good things about feature scaling but you did not put time in explaining why is it used..

@reachDeepNeuron 4 года назад

It dint come out clearly

@vinaykumar15 3 года назад

Its very confusing video and doesn't answer why do we need feature scaling.

@its_mrpanchal 3 года назад

kuch bhi samajh nhi aaya sirji, aap to kuch or topics pr hi bol rhe ho,,,, aap simple ye btaao ki scaling kyon karni chahiye

@suyashneelambugg 4 года назад

This is what happens when you learn from practical implementation. You have no real mathematical answers to anything. More like somebody learn to press buttons and was able to make some sense of the process. Stop calling Eucledian distance as Eucledian distance unless you can explain people why euclediam norm (L2 norm) is preferred over L1 norm which gives us the Manhattan Distance....

@krishnaik06 4 года назад

U better check my eucledian and Manhattan distance video ;) you will get to know about the norms.Probably you are taking a conclusion befor seeing all the videos. :-)