SMOTE - Synthetic Minority Oversampling Technique

This is part of the Data Science course on Udemy.
www.udemy.com/course/complete...
In this lecture, we cover the intuition behind SMOTE or Synthetic Minority Oversampling Technique for dealing with the Imbalanced Dataset.

[@ayush612]

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

[@chd9841]

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

[@datadriven597]

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

[@namanshah9216]

Explained in a very easy manner. thanks!!

[@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.

[@karkinissan]

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

[@alkodjdjd]

Finally someone who speaks in an understandable english

[@nikitadetkov3900]

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

[@meysamasgarichenaghlu6530]

Thank you, you made my day, great video.

[@brunoomenaribeiro3187]

That was beatiful, compliments from Brazil, Jitesh!

[@coreygates9646]

Thank you so much! excellent explanation and visuals!

[@andrewyang6806]

Awesome intuition! Thank you!

[@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.

[@chevasflorian4055]

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

[@NekoJimin]

Thank you, bless your soul!

[@janithinduwara9394]

Very clear sir !

[@elsmith1237]

Thank you so much! Simple explanation

[@ashishsangwan5925]

Nice theoretical explanation

[@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 :)

[@learnds2210]

Thanks for great tutorial

[@sathyanarayanapoojari7664]

Nice explanation

[@juancarlosmendozasaavedra7613]

Excelent, thanks for talking slowly

[@christopherkelman1563]

Perfect, Thank you

[@bobthetalkwalker]

Thank you, Sir!

[@neelanjanmitra3379]

this is gold

[@cooky123]

waiting for the implementation! thx

[@kkjitesh]

here it is
ua-cam.com/video/Zdf4dHhSL38/v-deo.html

[@hansikamannapperuma8001]

Thank you so much

[@UrontoShahid]

Does SMOTE is applicable in Image Segmentation dataset?

[@usamazahid1]

Perfect 🥰

[@RaviTeja-zk4lb]

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

[@hardiksharma9157]

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

[@arashalizade9583]

Thank you

[@vaseemmk]

Exellent!!!!

[@arindamnaskar2075]

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

[@okby8600]

Good visuals

[@AhmadHassan-on6zq]

Great

[@javierlinkolklopezgonzales4274]

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

[@ogsconnect1312]

Thanks

[@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
ua-cam.com/video/Zdf4dHhSL38/v-deo.html

[@lindseyxiao5366]

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

[@kkjitesh]

ua-cam.com/video/Zdf4dHhSL38/v-deo.html

[@chd9841]

what are some other techniques for such imbalanced cases?

[@ashishsangwan5925]

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

[@sinan_islam]

looks like new data is generated by interpolation

[@dantebutcher6315]

I misspelled "smite" and now I'm here

[@SpecificSpecificity]

lit af

[@yuhaooo8143]

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

[@Chato13]

What do you mean?

[@adhirajnath5432]

Step 1. Playback speed: 1.5

[@adityajillellamudi4634]

play it at 1.5 speed

[@hellochii1675]

4:54 `~~

[@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.

[@ogsconnect1312]

Thanks