SMOTE - Synthetic Minority Oversampling Technique

[@alkodjdjd]

Finally someone who speaks in an understandable english

[@chevasflorian4055]

Thanks for speaking slow. That's great for people who are not English speaking natives. In addition, your explanation is very clear. Thanks!

[@viswatejaforu]

I would strongly recommend this course in udemy for Machine learning, the way he explained all the topics is Cristal clear, one should understand it.

[@datadriven597]

Lucky to find this hidden gem. Keep up the good work!!

[@yassoaytac5747]

For a non-data scientist, those techniques are really hard to understand. Especially when you read i.e. the article SMOTE from Chawla,Bowyer et al. 2002... Thanks for this video. Now i got at least the idea of smote :)

[@chd9841]

this is really nice technique...its so simple but no one thought about it for so many years!!

[@javieralfonso8702]

Very well explained Jitesh, thank you, I was having a hard time understanding SMOTE and in only 8 minutes I got it thans to you. :)

[@daesoolee1083]

This is an amazing technique for actual applications. Blowing my mind.

[@RaviTeja-zk4lb]

Can we apply smote on imbalance dataset which contains only categorical features which are mostly either 0 or 1

[@karkinissan]

That was absolutely amazing. Understood it completely. Thank you!

[@brunoomenaribeiro3187]

That was beatiful, compliments from Brazil, Jitesh!

[@sathyanarayanapoojari7664]

Nice explanation

[@janithinduwara9394]

Very clear sir !

[@namanshah9216]

Explained in a very easy manner. thanks!!

[@ayush612]

So well explained!! Nice methodology of teaching! Thank you

[@UrontoShahid]

Does SMOTE is applicable in Image Segmentation dataset?

[@hardiksharma9157]

where do we use value of "the difference multiplied by random number"?

[@ashishsangwan5925]

Nice theoretical explanation

[@coreygates9646]

Thank you so much! excellent explanation and visuals!

[@aniamendoz4062]

@ Jitesh Khurkhuriya
This was awesome. Even a noob like myself could understand :). However you mentioned there will be another video with a practical example that I am unable to find. Could you please help me find it. Do you also have other lessons on other techniques like ARIMA?

[@kkjitesh]

You can find it here
ruclips.net/video/Zdf4dHhSL38/видео.html

[@nikitadetkov3900]

Actually, that was very cool, thanks for explanation! Good luck with future videos!

[@NekoJimin]

Thank you, bless your soul!

[@neelanjanmitra3379]

this is gold

[@hansikamannapperuma8001]

Thank you so much

[@chd9841]

what are some other techniques for such imbalanced cases?

[@ashishsangwan5925]

www.analyticsvidhya.com/blog/2017/03/imbalanced-classification-problem/

[@dantebutcher6315]

I misspelled "smite" and now I'm here

[@learnds2210]

Thanks for great tutorial

[@lindseyxiao5366]

Where is the implementation video ? I really need it ...

[@kkjitesh]

ruclips.net/video/Zdf4dHhSL38/видео.html

[@meysamasgarichenaghlu6530]

Thank you, you made my day, great video.

[@arindamnaskar2075]

Hi, thanks for the video. Just have one query: Is there any particular way to select the feature vector?

[@sinan_islam]

looks like new data is generated by interpolation

[@andrewyang6806]

Awesome intuition! Thank you!

[@juancarlosmendozasaavedra7613]

Excelent, thanks for talking slowly

[@arashalizade9583]

Thank you

[@usamazahid1]

Perfect 🥰

[@AhmadHassan-on6zq]

Great

[@cooky123]

waiting for the implementation! thx

[@kkjitesh]

here it is
ruclips.net/video/Zdf4dHhSL38/видео.html

[@javierlinkolklopezgonzales4274]

Thank you very much. Absolutely amazing.
Do you have an email to write to?

[@legttv97]

Step 1. Playback speed: 1.5

[@yuhaooo8143]

may i ask why imbalanced data affect the result?? thx

[@Chato13]

What do you mean?

[@elsmith1237]

Thank you so much! Simple explanation

[@sarveswararaovangala4391]

as he is speaking slow, watch this video at 1.5X to get normal pace.

[@pixel7038]

Not everyone has the same learning pace dawg.

[@mohamedmahyoub5877]

1.75x even better lol

[@rishabhrohit]

Yes, for us 1.5 times works the best. But for those who are not from India, sometimes it gets harder for them to understand the accent so the normal speed is perfect for them.

[@bobthetalkwalker]

Thank you, Sir!

[@ogsconnect1312]

Thanks

[@okby8600]

Good visuals

[@vaseemmk]

Exellent!!!!

[@adityajillellamudi4634]

play it at 1.5 speed

[@christopherkelman1563]

Perfect, Thank you

[@hellochii1675]

4:54 `~~

[@SpecificSpecificity]

lit af

[@ogsconnect1312]

Thanks