Variance Inflation Factor Simplified | Variance Inflation Factor in Multicollinearity | VIF

[@yash422vd]

Mr. Amen the best part of your video is; Pure Knowledge, in depth explanation, and the simplicity you have when you speak. Thanks a ton.

[@UnfoldDataScience]

Welcome Vishal.

[@srivanthsai]

I liked the fact that you even explained what it means to have a high VIF for a particular variable instead of just saying what VIF is

[@UnfoldDataScience]

Thanks a lot, please share with friends,

[@shriharshakonda709]

Thanks a lot, you explained it very well. Will watch other videos on this channel.

[@faridhusen6651]

I was rotating and rounding my head all the day and finally I found your video which makes me concentrate and do my PhD assignment. Thanks a lot.

[@UnfoldDataScience]

Thanks for your feedback. Such comments make it worth creating videos. Please share with your friends as well to increase the overall reach of good content.

[@bujinmasha6968]

Delivering your precious knowledge with kindness to others is the best human being. Your explanation is wonderful.

[@UnfoldDataScience]

Your comments are precious. Thanks Enee.

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I am getting the true knowledge on the topics after watching your videos. Thank you so much

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I was so tensed about this particular topic. Then suddenly saw your video, and my doubt just vanished completely.

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Every video is pure gold in this channel.

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I want you teaching me everything because this explanation was phenomenal

[@candygames1354]

Whenever i dun know a term in my stats textbook and search online for explanation and see aman there with a video, i know my understanding is saved!!! Thanks aman for ur effrot. Omar of Singapore

[@UnfoldDataScience]

Thanks Omar, cheers!!!

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#simpleeconmics2024

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[@UnfoldDataScience]

Thanks Shekhar.

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The explanation is very clear and you never went out of the topic in the full video

[@UnfoldDataScience]

Thanks Arun.

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Aman, your explanation is impressive! You explain in a manner that is very easy to understand. Greetings from Brazil.

[@UnfoldDataScience]

Thanks a lot Thiago. Your comments are precious for me. Keep watching.

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This is the best explanation I have seen! It’s clear now!!

[@UnfoldDataScience]

Thanks a lot for motivating me through your lovely comments.

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Thanks a lot for this video. I am becoming more confident nowadays because of your videos.

[@UnfoldDataScience]

That's great Roshini.

[@IgnacioMajo]

Valuable content, takes his time to explain in simple ways for you to understand. Thanks for the video ! It helped me a lot.

[@SumitDas-nl5iy]

Aman, Your Explanation is crystal and clear man. Keep it up

[@UnfoldDataScience]

Thanks Sumit.

[@fortissimo4382]

This is saving my life! Thank you so much!

[@UnfoldDataScience]

Welcome.

[@parikshitgurjar5545]

Thankyou for this video it is really helpful ...plese make more videos like this on data science your explanation is very helpful..

[@UnfoldDataScience]

Thanks Parikshit.

[@datafuturelab_ssb4433]

Thank you very much again for great and simple explanation about VIF.
Hats off

[@UnfoldDataScience]

Thanks a lot.

[@miraclemiracle9289]

Excellent explanation !!!!

[@shawngu86]

This is simple and well explained VIF video, thank you

[@UnfoldDataScience]

Thanks a lot.

[@suryadhakal3608]

Excellently explain. Great Job.

[@UnfoldDataScience]

Thanks Surya.

[@shawndavid8755]

Awesome explanation !!! Thanks for the video !

[@UnfoldDataScience]

Welcome Shawn.

[@AMVSAGOs]

Greate explanation. thank you so much....

[@UnfoldDataScience]

Welcome

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Kya samjhaya hai, maja hi AA Gaya 🎉🎉🎉🎉

[@yp4109]

Thank you very much! Your explanation is very clear!

[@johnk221]

Great video!! Though one thing confuses me. At 9:55, you mentioned let us assume the VIF of X1 as 0.3, but given the VIF formulae, the lowest VIF a variable can take is 1 right??

[@bujinmasha6968]

Thank you so much, Aman. I am learning a lot from your videos which are extreme valuable. You are true scientist and have the best personalities.

[@UnfoldDataScience]

Thanks again Enee.

[@TimothyNg-y6q]

Thank you for the explanation! If possible, I would also like to learn about the VIF constant (or the intercept), particular what does it add to the VIF test result in addition to the individual VIF values. :)

[@JayanJacob-e3k]

a simple way of explaining a complex topic, very good, have more videos about stat

[@biklimbs1133]

love your simplified explanation.....

[@UnfoldDataScience]

Thanks a lot for your valuable feedback.

[@saijaswanth3036]

Thank you sir , for good explanation

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hats off sir ,you have explained this very easily .

[@UnfoldDataScience]

Thanks Vibhu. pls share with friends as well

[@mysurupak]

Superb and simple explanation .A big thank you.

[@UnfoldDataScience]

You are welcome Pavan

[@amirfani4036]

Very well. Thank you a lot. You solved my problem.

[@UnfoldDataScience]

Glad it helped Amir

[@namanjain7925]

Man, this video is so good. Thankyou so much sir.

[@UnfoldDataScience]

Thank you

[@ibmfagroup]

Sir your explanation is very crisp and understandable.

[@UnfoldDataScience]

Thanks alot Bhanu 😊

[@MrSoumyabrata]

Awesome video. Thank you.

[@UnfoldDataScience]

Welcome Soumya.

[@harsh2014]

Thanks for the VIF explanation !

[@sakshamwadhwa4052]

Wonderful explanation

[@himanshukumar1569]

very well explained. best video on this topic

[@dipeshchandiramani1897]

Very well explained and very organized. Thanks!

[@hirdeshkumar4069]

Wonderful explanation.

[@UnfoldDataScience]

Thanks for watching Hirdesh.

[@subhendupanda7454]

Ur videos are great indeed. Simplifying the complex terms in most optimal way through examples. Thanks a ton, Aman! Keep doing great 👍

[@UnfoldDataScience]

Thanks a ton Subhendu. Please share with friends as well.

[@digvijaydesai5642]

Thank you sir!! Keep teaching us !!

[@my_nicholas]

Excellent explanation! Thank you!

[@UnfoldDataScience]

Welcome.

[@mouleshm210]

simply awesome!!! :)

[@UnfoldDataScience]

Thanks a lot.

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Thank you for such nice explanation :)

[@samruddhideshmukh5928]

Your explanations are truly very nice and helpful in understanding the concepts. Happy to learn from you. Please keep on making such videos on various Data science topics.

[@UnfoldDataScience]

Thanks Samruddhi.

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very nice concept clearing teaching method

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Hi Aman,
Your way of Explaining is Good and very clearly explains topics simply. But a Request from Myside, please Create a complete playlist for Data Science/Machine Learning ( Python,ML and DL algorithms). It may helpful for many guy's...
Thanks for your Videos🙏

[@pritam_narwade]

Wonderful explanation 👍

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Wonderful explanation 🙏

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very nicely explained, simple and in-depth 🙌

[@UnfoldDataScience]

Glad it was helpful Akash.

[@naveenchander9786]

nice one

[@UnfoldDataScience]

Thanks Naveen.

[@malikumarhassan1]

Thanks, Sir Very well explained.

[@nivednambiar6845]

Hi aman, This is awesome, you had explained the VIF concept very well, thank you

[@UnfoldDataScience]

My pleasure Nived

[@kidya-moohustories4764]

really helpfull thank you plz keep up the good work

[@UnfoldDataScience]

Glad it helped

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great content here.keep them coming.

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Wonderful video.

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Why is he having less subscribers?? guys he explains so well, we need to appreciate and support him. Smash the like and subscribe button.

[@UnfoldDataScience]

Thanks Aditya. Your words mean a lot.

[@UnfoldDataScience]

Thanks Aditya. Your words mean a lot.

[@patrycjakasperska7272]

Great content, easy explanation. Thanks a lot :)

[@UnfoldDataScience]

You are most welcome!

[@husamjon5971]

this teacher is amazing - where does he work?

[@Paladipradeep]

Nicely explained. Thank you

[@chanishagarwal9103]

Thanks, Aman for the amazing video. Actually, I have one question. What if there are multiple variables which have high VIF value? Can I remove them all at once or should I calculate after removing each feature and then remove?

[@aneeshahuja1631]

Great

[@UnfoldDataScience]

Thanks Aneesh.

[@mithunyadav3153]

bro start taking data science courses ..ill be the first guy to join your classes ..lovely explanation

[@UnfoldDataScience]

Sure

[@shafeeqaabdussalam6195]

Very helpful 👍

[@UnfoldDataScience]

Thanks a lot.

[@ShajulIslam-uk1re]

thanks sir. your explanation is really understandable.

[@UnfoldDataScience]

You are most welcome

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Great content

[@UnfoldDataScience]

Thanks A lot.

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very well explained

[@UnfoldDataScience]

Thanks Rushi.

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Thank you for creating videos like this....

[@UnfoldDataScience]

Our pleasure!

[@kimiamohamed2238]

Hi greetings from Africa, Firstly i am your follower since 2022 & very satisfied with the explanation you gave. If it is possible, i need clarification as to why we use P-value

[@alicenNorwood]

This is a very good explanation.

[@UnfoldDataScience]

Thanks Alisa.

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Greattttt 🙏 simply knowledgeable

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Awsome explaination ..thank you 🙏

[@UnfoldDataScience]

You're most welcome

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Nice tutorial. good way of explaining

[@UnfoldDataScience]

Glad you liked it

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Nicely explained. Thanks!!

[@UnfoldDataScience]

Glad it was helpful!

[@kirteshverma7470]

Thank you so much for this.

[@bijayalaxmikar6982]

your explanation is great

[@UnfoldDataScience]

Thanks Bijaya.

[@Siddhantvadi777]

good explanation

[@UnfoldDataScience]

Thanks Siddhant.

[@Englishwithfajarkhalil]

Very easy to understand, Sir is it possible I could get your all videos regarding data science.

[@smasherswkd]

Finally ,if vif is High we should remove that features and remaining features can be used to analysis,
I mean vif greater than 5 can be removed , right?

[@himanshugautam1421]

Depends on dataset, sometimes we remove, sometimes we use other methods.

[@UnfoldDataScience]

Thanks Himanshu and Upre. Yes depends on data however as a generic approach we can say we remove.

[@5minutesfacts876]

Amazing....sharing it in simple term kudos

[@UnfoldDataScience]

Thanks a ton

[@nsd6297]

Aman plz list all feature selection technique like ref and vif and pca.....

[@UnfoldDataScience]

Ref video is there, search with channel name + topic name

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Very nicely explained 👏

[@hindeshakash4709]

Simple and excellent.

[@UnfoldDataScience]

Glad you like it!

[@syedtouqeer5126]

nicely explained

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Thanks Syed.

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Good one.

[@UnfoldDataScience]

Thanks a lot.

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Good Explanation!!!

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Easiest Explanation

[@UnfoldDataScience]

Thanks Malaviya.

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[@UnfoldDataScience]

So nice of you. please share with others in various data science
groups as well.

[@mnaveenvamshi3651]

@@UnfoldDataScience Sure Bro , I will 👍👍👍👍

[@rashakahoul2544]

Thank you Aman, Thank you very much for the way you explain and deliver the information. Actually, I have some problems understanding what is the variance, "mathematically I understand it well" but when I learn machine learning I have a problem with it. would you please help to make it clear?

[@UnfoldDataScience]

You should understand intuitive way, high variance means observations are far away.
India team scores 300 run total, all 11 players score close to 30,low variance of scores in team
India team scores 300 runs in total, Rohit 200,virat 100 and rest zero, this is high variance scenario.
Above is data variance, not to confuse with model variance.

[@rashakahoul2544]

@@UnfoldDataScience Thank you, I appreciate your help and time.

[@anujlahoty8022]

Nice and concise

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simply awsome

[@UnfoldDataScience]

Thanks Nihar.

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Great help!

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Nice, very impressive

[@abhinandanchoubey9837]

You are awesome!

[@Paladipradeep]

There are many ways to decide the final features that go inside the model training like feature selection techniques, variance inflation factor, correlation matrix etc. Could you pls enlighten me with the most recommended way of feature selection out of all of these?