Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance
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- Опубликовано: 11 сен 2019
- 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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You are in love with the word "particular" :)
thw glitter in his eyes and the slight smile when he completes explaining a concept shows his hardwork and dedication
simply say:
Covariance: tells if two variables are positively or negatively correlated
Correlation: tells how strongly variables are correlated and in which direction
Excellent Sir,, nobody can explain much simple than this way, Thank you so much
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.
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.
7:40 what u wrote initially was correct, X increases Y decreases.
yes, but both are actually same lol.
@@saagerbabung5652 you are correct bro😂. It same as saying it's not water it's H₂O.
Dude, thanks for such crystal clear explanations, making the concepts easier to comprehend.
you are one of my favourite math teachers in all time I swear!
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!
Wow, thank you. its a clear explanation in short time. God bless you.
Excellent video and explanation - Thanks for making and uploading it.
Awesome stuff Krish Naik.. You make these concepts so easy to understand. Thanks a lot brother.
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
Dude your videos are very very understanding. Thank you a lot ! cheers mate
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.
are you working in the field of data science
You lectures are super exciting and the way you explain is amazing.
Thanks for uploading...was looking in the playlist since morning.
Could you please make a video on sql,how much knowledge should one possess abt sql for data analyst role. Pls help.
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
Thanks bro, I can see the passion and hardwork you put in 👌🏻
Great stuff. Succinct and clear!
Again an amazing explaination. Thank you Sir
I wish you were my stats prof! Thank you for this simple explanation!
I failed to understand what my college professor was trying to deliver!!!..thank you it's so much clear now
Thank u so much for explaining this typical topic in simplest way.... Now it's clear to me
Thank! Great explaination!
Great simple explanation. Thank you.
Man I love your work, in particular and general👌
Thanks sir, i am really enjoying the journey to Data Science ,You are awesome
Explaination on point!
Brilliant. Thank you so much buddy
Thanks for the Video, easily explained the concept and its use.
Awesome explanation..i am using this test in my research work, for which i need to know everything about this test..uh explained well.
awesome. thank you so much for the explanation
really superb way of conveying concepts , Great job sir
Great sir , absolutely amazing
thank you so much for this video !!!
Really excited lecture boss...
Feeling good to have mentor like you
Thanks , well explained
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
great explanation sir, it helped me a lot.
Good stuff sir and explained in understandable manner 🤝
Thank u Krish. Great explanation.
Great explanation.
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.
kranthi kumar yes it will be very useful
Krish bhai ... explained beautifully... great 👍
superb explaination sir.
Concept clear simply.. thanks you Sir
Good explanation and finally well connected with how to select feature for dropping..
Very useful and well explained sir because of ur videos I am interested to learn more stat thk u so much sir
1000likes..extra ordinary..very simple explanation
Brilliant explanation mate
The way you explained this hell topic was sooooo amazing sir awesome video 👍👍👍👍
Damn good explanation. Keep up the good work sir.
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.
sir if youve found an ecplanation.. could you let me know?
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??
Yahh !!
I got it.....this video is very helpful for me 👍👍👍👍👍👍
brilliant explanation krish
Awesome🔥🔥
sir thank you alot because of you i am able to learn ML easily. Thank you sir .
so much helpful 👍👍
Awesome Elaboration
thanks more we like your teaching approache continue
I watch ur every video.... when u prepared all this??? Great....
@@therealaspirant1882 No, who told you?
can we compute correlation between two rows of a single matrix??
@@mrunalsrivastava2015 yes. do take transpose first
@@viveknikam5981 yes same I did. Thanks
understood clearly thanks bro
Awesome one sir.
Thank you!
please make some videos on reinforcement learning
sir happy new year
love ur teaching sir
Explained beautifully
nice explanation.
Thank you very much
Very helpful
Nicely explained
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.
Thank you soo much sir😊
Awesome video...
Wht if correlation value of two independent variables is -1 then also can we exclude one variable?
Very informative video. I just had a doubt regarding this. Is the correlation coefficient also described through the correlation heatmap built using seaborn?
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THANK YOU
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?
u are awesome sir keep doing this
Thank u sir
nice one @Krish Naik
Thank you sir
Thank you
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
Sir your English speaking soft skill superb 👌👌👌👌
Nice Video, this is very helpful, (y)
I have a question: How can we compare two data set, say- actual v/s target data of an experiment? I want a quantitative number (like error%
@krish Naik in second graph of correlation X increases and Y decreases.
thank u sir ...great explanation ......u were right at 07:32 too.
Hello sir
Can you upload a video on spearman rank correlation coefficient
There is no video belongs to spearman rank correlation coefficient
thanks sir
Thanx savior:D
superb
Thnx 😊
One kind request.Please post a video on which statistical tests are used in different cases
Sir after a specific point of time.. I laughed on your face expression 😂...
Better than my teachers who done phd's