This guys is a legend, he doesn't have to explain anything this deep but he's got that passion to teach, really happy to see this!!!!!! Good that i noticed his page thanks Krish :)

Hi Krish, just wanted to say how helpful and well-explained your videos are. Looking forward to watching more of your series on NLP!

I like the way Krish really makes an effort to TEACH, vs simply regurgitating information.

I want to thank you, I've been watching your videos for a few months. I speak Spanish, and my English is not the best, because of your accent at first I thought I would never understand them because I had never heard that accent, but now I end up studying more English to be able to watch your videos faster. Thank you for your dedication and being part of the creators who democratize their knowledge, leaving everything in videos that are free for us.

@Chuukwudi

2 жыл бұрын

@jesus Colin. See the big words you’re using and you say you’re learning English. I don’t believe you!

You're really amazing Sir. Neatly explained. This explanation is just an example for "THE POWER OF SIMPLICITY". Thanks a lot

hi krish, your are indeed making the videos in a manner that is so easy to understand. you are doing real good for the community and for aspirants that find it difficult to learn all the algorthims. Dont stop making such videos. God bless you

this is the most clear explanation of tfidf I've ever seen. Thank you so much!!

Wow, great explation! I not only understood how to calculate it, but also WHY it is used! Thanks!

A great teacher is one who makes complex things simple. Thank you very much!!

Not a rocket science.. Absolutely mind blowing the way he breaks this to the simplest meaning.

I've spent a bunch of time trying to understand TF-IDF, but with this video it just clicked right away. Thanks!

Hey Krish , I have been watching your videos for a while now .. i must say..you are AMAZING.. I have been doing small projects based on machine learning concepts , and thanks to you , your videos really helps me to understand the main concepts , both in theoretical and practical implementation..Thanks A Lot... Looking Forward For your New Videos ...

Thanks for the NLP series of videos. Please make a video on domain knowledge gaining. Teach us the domain knowledge wrt Datascience Fine with any specific domain. Also make a video explaining what are the data points to look for choosing a machine learning algorithm for example when do we need to go for Random forest for classification and when for SVM etc. I know you have covered couple these concepts in your earlier videos but a playlist with only these details at deeper level would work. Keep the good work going. Thanks a ton. You are a great inspiration.

Thankyou so much Krish sir❤️ I'm having exam tmrw. Without the revision now I can directly write my exam...

Wish I had you as a professor back in my college days, great vid! Thanks so much for providing a great explanation.

best channel for data science topics not focus only on theory but the implementation of theory as well.

Thank you so much for this simple and clear explanation. Understood the concept on the first go, keep up the good work.

I don't have any words to appreciate again and again. really awesome explained. Thanks for ur help

You are gold, my friend! Thank you so much for your work.

Really loved it ❣️....u simplify things efficiently!!

Thank you! You explain very good, I send you a hug from Ecuador

The way he teaches is just Wow :)

I really love your way of explanation. You're explanation of the intuition followed by a demonstration of the code is really useful.

Amazing explanation, very clear and short steps, love it!

A pity that your sentence 3 calculation got cut off from the video, but i got the gist of your explanation. Thanks for making this clear and simple to understand.

I really want to thank you as I cleared my ME dissertation because of I am able to understand the working of TFIDF

Finally I saw the picture behind tfidf.. All doubts cleared. Thankyou

Fantastic video! Well done and well explained. To the point, and clear.

Great Explanation! Thank you for making this video

Excellent krish. Keep Motivating. You are doing well

I love your videos. Thank you, man.

You are such a talented teacher! Thanks!

Great Explanation! Thank you for making this video.

What an amazing guy! Very easy explanation, thank you.

great tutorials Krish, keep it up my man!

Let C = number of times a given word appears in a document; TW = total number of words in a document; TD = total number of documents in a corpus, and DF = total number of documents containing a given word; compute TF, IDF and TF*IDF score for each term

@satwikchivukula8905

7 ай бұрын

C/TW, log(TD/DF), C/TW * log(TD/DF)

amazing lesson!! thank you so much for this well-explained video!

Hey Krish M fan of ur teaching . You just teaches from very basic to advanced.

You are such an amazing teacher ❤📖

Always in many articles that I've read 'TF-IDF' I could never understand the meaning, but now it's different. Thanks for your video.

@ParthPatel-iy8ku

4 жыл бұрын

Yeah Exactly

Thank-You so much sir for Crystal clear explanation.

Your way of teaching is very impressive.

Great breakdown to layman words. Keep the work. I like the energy too :)

what an explanation . just love it . keep it coming sir👌

just wow Sir because ur explanation is like awesome.

Thanks krish. Superb video once again.

Bhot sahi bro one day you'll surely blow up 🔥🔥

very good explaination, really helpfull, plz continue your good will

Hi Khris, loved the explanation. Thanks for this.

Thanks a lot Sir for providing such great contents.

Thanks that was an excellent explanation, could not have been any better...

thank you for this video. very well explained!

Very helpful video.. thank you so much! 🙏🏼

I understand, thank you so much Mr.

Thank, this video help me so much. Very easily understand

Wonderfully explained sir ....i understood very well 👍

Great Job Krish (Y)

Thanks for your effort. It was a good explain .

Sir tomorrow is my AI pre board, thank you for this video really helpful

Incredible video - thank you

Excelent vídeo. Is there any videos where you explain how to implement TF IDF for better performance of sentiment analysis algorithms?

great video, thanks so much!

What a teacher!! Thank you

Correct me if I'm wrong. Bag Of Words ( count or Binary ) and TF-IDF will only give the values based on the frequency of the occurance and doesn't process based on semantics. To get the output based on semantics we need to use Word2Vec. @Krish Naik

Thank you. You are a great teacher.

you are perfect. thank youuuu

Amazing video! Thanks!

Krish, great teching. WOW

awesome, very well explained.

Your videos are very informative bro...keep going 🤩

well explained. Thank you.

Something to be aware of is that TF-IDF cannot help carry semantic meaning. It considers the importance of the words due to how it weighs them, but it cannot necessarily derive the contexts of the words and understand importance that way.

Wonderful and very much useful sir. Thank you very. I request you to clear confusion between sentiment & semantic analysis

Great explanation ✌️👍

Thanks a lot! It helped a lot!!!

This is unique thank you❤️

Very helpful, thank you.

Thanks for your video.

Why Indians are so good in teaching?

This is really good explanation! How to select top words when the sample size is large? Suppose, if I select Journal Articles for the study which contain more than 5k words, then how can I select top words from them?

Really great videos!!!

thank you so much!

Thanku thanku thnku so much infinite thanku

Thank you krish sir

Amazing sir👍

Excellent explanation

This is awesome 💛💛💛💛🙏🙏🙏❤️❤️❤️❤️❤️❤️❤️❤️❤️

Sir pls make your videos on SQL Server also sir, pls sir having lot of problems with sql server, SSRS etc. And sir want one advice from you sir, did I have to learn SSRS(Sql Server Reporting Services) also while learning SQL Server.

Very good explaination

Thank you.

Very good explanation

great video!

Amazing ❤️

thank you so muuuuch

thank you so much

Thnx for your effort

Thanks Krish

Really good sir

thank you very much

Great explanation