Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance

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In this video we are going to understand about Pearson Correlation Coefficient. We will also understand the difference between Covariance and Correlation.
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Опубликовано:

14 окт 2024

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Комментарии : 196

@amitupadhyay6511 2 года назад

thw glitter in his eyes and the slight smile when he completes explaining a concept shows his hardwork and dedication

@beautyisinmind2163 3 года назад

simply say: Covariance: tells if two variables are positively or negatively correlated Correlation: tells how strongly variables are correlated and in which direction

@brudra0 4 года назад

7:40 what u wrote initially was correct, X increases Y decreases.

@saagerbabung5652 4 года назад

yes, but both are actually same lol.

@vatsalkachhiya5796 3 года назад

@@saagerbabung5652 you are correct bro😂. It same as saying it's not water it's H₂O.

@amishsharma7578 4 года назад

You are in love with the word "particular" :)

@kondapallisrikrishnapriya8870 15 дней назад

Sir Thank you so much... I really never understood statistics. You made it so simple to learn.. Kudos to you..

@danielleroberts8252 Год назад

THANK YOU! I am NOT a data or math person and have been trying to wrap my head around this statistics test and what it does for a communications methodology course. All I could find is how to do it, but not how to figure out if it was the right test for my data. Now I understand and can see if it works better than the Chi-Square for my data.

@ibrargeorge5360 4 года назад

U r a gr8 teacher I have searched so many statistics teachers but r u different ways to teach thank u .u hv cleard my confusion God bless u

@newtonkamanga1930 2 года назад

I failed to understand what my college professor was trying to deliver!!!..thank you it's so much clear now

@VVV-wx3ui 5 лет назад

This is one super good explanation of the relationship between Features. Its a beauty of you sessions, talking about Stats w.r.t to its play in ML Algorithms (feature engineering). You are guru to me in Data Sciences.

@vishnuprabhakar7327 Год назад

are you working in the field of data science

@sandipansarkar9211 4 года назад

superb.But one thing is if the correlation between two independent variables is 1 rhen they can be treated as 1 variable and hence we can drop one og the .So this is the importance of Pearson correlation.This is the importance of Correlation in data science. Did not know that.Now its clear.Thanks Krish

@aartibalhara9996 2 года назад

Awesome explanation..i am using this test in my research work, for which i need to know everything about this test..uh explained well.

@anandacharya9919 5 лет назад

Excellent Sir,, nobody can explain much simple than this way, Thank you so much

@ilmctmp 4 года назад

Great video. Thanks for posting such lucid material. +1 for your expressions It will be great if you could also give a proof on why dividing by standard deviation gives the strength. I found it a little bit difficult to understand the logical reasoning. In the covariance video, you clearly explained for a +ve relation why does covariance increase and vice versa.

@aditidump Год назад

sir if youve found an ecplanation.. could you let me know?

@NONAME_G_R_I_D_ 4 года назад

you are one of my favourite math teachers in all time I swear!

@kranthikumarjorrigala 5 лет назад

Hi, your explanation about concept is nice. One suggestion from my side is explain how to implement those concept with python after the theory part. Please make video on tests used to find nonlinear relationship and how to find relationship between categorical dependent variable and multiple categorical and continuous independent variables. This would help many people I guess. Thanks for useful content.

@rizwanrehman6833 5 лет назад

kranthi kumar yes it will be very useful

@martinjames4293 4 года назад

Excellent video and explanation - Thanks for making and uploading it.

@viveknikam5981 5 лет назад

I watch ur every video.... when u prepared all this??? Great....

@kpratik5551000 4 года назад

@@therealaspirant1882 No, who told you?

@mrunalsrivastava2015 3 года назад

can we compute correlation between two rows of a single matrix??

@viveknikam5981 3 года назад

@@mrunalsrivastava2015 yes. do take transpose first

@mrunalsrivastava2015 3 года назад

@@viveknikam5981 yes same I did. Thanks

@dineshrawat8438 Год назад

Good explanation and finally well connected with how to select feature for dropping..

@mohammadmousavi1 2 года назад

Your explanation are clear, to the point and short … great job 👏… You have a gift in teaching… please make more of these short videos about different topics

@udayraj82 2 года назад

Thanks for the Video, easily explained the concept and its use.

@logeshwarana.r4461 Год назад

Very useful and well explained sir because of ur videos I am interested to learn more stat thk u so much sir

@mikelgiroud8798 2 года назад

Great One. Would like to see you give more brief example or just statement on how and which theory used in a particular AI/Machine Learning/Tech field and why each theory/concept is important for each field i.e., why Pearson CC is important for ML and how it is used

@abhishank1062 2 года назад

Feeling good to have mentor like you

@MukeshThakur-qp5ft 3 года назад

@krish Naik in second graph of correlation X increases and Y decreases.

@vijetabahuguna7688 3 года назад

Thank u so much for explaining this typical topic in simplest way.... Now it's clear to me

@anirudhyadav-mq8nd 5 лет назад

Thanks for uploading...was looking in the playlist since morning.

@anirudhyadav-mq8nd 5 лет назад

Could you please make a video on sql,how much knowledge should one possess abt sql for data analyst role. Pls help.

@shraddhashirke1992 4 года назад

Awesome video... Wht if correlation value of two independent variables is -1 then also can we exclude one variable?

@santhoshkumar-lm4hs Год назад

1000likes..extra ordinary..very simple explanation

@dilipgyawali1776 Год назад

thank u sir ...great explanation ......u were right at 07:32 too.

@sreeramsaravanan8132 5 лет назад

One kind request.Please post a video on which statistical tests are used in different cases

@lalithapriya9484 3 года назад

really superb way of conveying concepts , Great job sir

@ravirajmahajankatti4691 3 года назад

Thank u Krish. Great explanation.

@muhammadzubairbaloch3224 5 лет назад

please make some videos on reinforcement learning

@Mithilesh165 3 года назад

Thanks sir, i am really enjoying the journey to Data Science ,You are awesome

@sushilkumarpadhy8154 3 года назад

Krish bhai ... explained beautifully... great 👍

@akshatsrivastava6840 3 года назад

sir thank you alot because of you i am able to learn ML easily. Thank you sir .

@adityakayasth4401 3 года назад

The way you explained this hell topic was sooooo amazing sir awesome video 👍👍👍👍

@dennisdennis7069 Год назад

Man I love your work, in particular and general👌

@asimssheikh 3 года назад

Great simple explanation. Thank you.

@ibrahimmondal9104 2 года назад

Yahh !! I got it.....this video is very helpful for me 👍👍👍👍👍👍

@lokeshkaturi4040 5 лет назад

Hi Sir, you give valuable details of stats and their application which gives an idea how to see the data and implement algorithms .Thanks a lot!

@rizwanrehman6833 5 лет назад

Hello sir Can you upload a video on spearman rank correlation coefficient There is no video belongs to spearman rank correlation coefficient

@tusharsantra7724 Месяц назад

Awesome explanation sir

@pritishpattnaik4674 Год назад

Great sir , absolutely amazing

@semrana1986 5 лет назад

Good stuff. Generally, Persons Corr can only caputre linear correlations and tend to miss non-linear correlations

@doctordilanka 3 года назад

What can capture non-linear correlations?

@juderobert1712 5 лет назад

Sir the formula you're using is it for the population covariance? If yes then it should be capital N rather than a small letter n.

@AmitVishnukumarModhMCS Год назад

superb explaination sir.

@rajumarukurthi2186 5 лет назад

Hi krish can you make video on t test and p value in regression path

@vijaylivelife 4 года назад

Awesome stuff Krish Naik.. You make these concepts so easy to understand. Thanks a lot brother.

@Palletooriabbai 3 года назад

I showed this video to 4th grade student 👩‍🎓 now he is teaching exactly same thing for me 😊

@akshatchouhan5199 3 года назад

You lectures are super exciting and the way you explain is amazing.

@abumonyeigbo5040 3 года назад

So happy to come across this video. I have been trying to understand what the Pearson correlation and covariance are and how to use them. Thank you for uploading this video.

@inddrayadav2719 4 года назад

Concept clear simply.. thanks you Sir

@gowthamjeevanantham6144 2 года назад

brilliant explanation krish

@FrankyFF_GamingZone Год назад

sir happy new year love ur teaching sir

@mihirgaglani4167 4 года назад

Dude your videos are very very understanding. Thank you a lot ! cheers mate

@SantoshKumar-nc4xr 3 года назад

Very very thanks sir . Today I have got lots of money from this video.

@shikhashukla2324 4 года назад

Sir your English speaking soft skill superb 👌👌👌👌

@MadhaviSHARMA-z7t 11 месяцев назад

Thanks , well explained

@jetace5564 Год назад

Brilliant explanation mate

@GreyWolf_369 3 года назад

Dude, thanks for such crystal clear explanations, making the concepts easier to comprehend.

@kaitlyndoodle 3 года назад

Thank you!

@micheleadriaans6688 3 года назад

Thank! Great explaination!

@mehediazad1780 2 года назад

awesome. thank you so much for the explanation

@prakash8876 5 лет назад

Wow, thank you. its a clear explanation in short time. God bless you.

@thepresistence5935 3 года назад

understood clearly thanks bro

@amritsudershan8620 3 года назад

Really excited lecture boss...

@aslamuddinmuhammad4694 2 года назад

Dear Krish , since covariance will not give any numerical value , how come dividing it by SD gives value ranging from -1 to +1 ... Is it just like reciprocal of product of SD?

@madhubonigala767 4 года назад

We loved the way u are explaining..Thanks for sharing knowledge 👍..can you also do a playlist on calculus so that it would be helpful for new learners like me??

@manpreetkj3 3 года назад

I wish you were my stats prof! Thank you for this simple explanation!

@shreymodi1494 5 лет назад

nice one @Krish Naik

@K-mk6pc 2 года назад

Sir for the video @7:44 You can say as the X increases Y decreases. On The Board Its not Much Clear So.

@rishabhgupta9846 5 лет назад

Is there any WhatsApp group or website or something similar where we can ask doubt regarding Machine Learning? Please tell me

@shiwangful 3 года назад

great explanation sir, it helped me a lot.

@shubhamsamdani3503 5 лет назад

Sir, then why do we measure covariance & is it right to always use Pearson Correlation over covariance ??

@goitomfitsum6722 4 года назад

thanks more we like your teaching approache continue

@SurajKumar-iw1ly 3 года назад

Nicely explained

@hanman5195 5 лет назад

i see Superb strength in you as well along with Pearson correlation. If you have time please prepare videos on (t test z test anova chi square) to evaluate ML models. Thank you very much.

@ankitdeshmukh6881 4 года назад

Very informative video. I just had a doubt regarding this. Is the correlation coefficient also described through the correlation heatmap built using seaborn?

@vroomvroom4308 4 года назад

Awesome Elaboration

@KalyanGk0 3 года назад

Better than my teachers who done phd's

@Sumeet_100 Год назад

thank you so much for this video !!!

@bivashthakur9199 2 года назад

God of Machine Learning

@petelok9969 2 года назад

Hi Jrish, very nice tutorial. I have a question. The elements of a correlation matrix, are they the Pearson correlation coefficients? When I use corr() in python is it giving me Pearson correlation coefficients or something else like the covariances between my variables? Peter

@pawanbhandarkar4199 3 года назад

Great stuff. Succinct and clear!

@traptigupta2628 3 года назад

so much helpful 👍👍

@0000silas 2 года назад

wow u need a Nobel price in machine learning

@ganeshreddymangunuru5001 4 года назад

Good stuff sir and explained in understandable manner 🤝

@SwavimanKumar 4 года назад

The Machine learning book you recommended in the description is having examples in it of the older version of tensorflow. Do you have any latest book recommendation on the same topic?

@anandseniyar8814 5 лет назад

Thank You Sir...videos are very easy to understand. Can you please share the link to Spearmen Rank CC video...

@lifeisfun9 5 лет назад

Again an amazing explaination. Thank you Sir

@sombitchakraborty6646 3 года назад

Is it important for the two variables to have a normal distribution or at least one of them should be normally distributed?

@jozuatjonatsoi3670 2 года назад

Thank you very much

@Sujo6 3 года назад

nice explanation.

@PriyanshuSingh-wj8zj 3 года назад

Sir in the last example you said X and Y are independent variables and Z is the dependent variable ,then can there be a correlation between X and Y as you said, since they are independent?

@kevin-bm1vf 3 года назад

Very helpful

@priyeshdave3799 2 года назад

Hi @krish , Great explanation, you make concepts easy to understand. Just a small question. Why does the corr coeff gets range 0 to 1 or -1 to 0 in case for scattered distribution ? I am finding it difficult to understand. Is it just that as the x and y values are not correlated to it's getting 0. I'm finding it difficult to analyze, can you please help me out ?