Naive Bayes classifier with solved example 1 in hindi | Lec-12 | Machine learning tutorials

[@YumnaMugheez]

best video on whole youtube, I literally go though 5 to 7 videos.. but didn't get any thing .. Thanks

[@anas7175]

Bro because of your solution i got confused
Its totally wrong in conditional probability we can't use p = 1 -q

[@adityapugalia8597]

You can not use p=1-q here because it's conditional probability.

[@aesthetic_wasif]

yes I solved for play_tennis dataset and I tried this q = p - 1, and the answer was wrong.

[@Meraj548]

P(SUV/No)=3/5
Right answer 🙏

[@sohamchatterjee5163]

@@Radhe55 p(suv/no)=[p(no/suv)*p(suv)]/p(no)

[@sohamchatterjee5163]

But very good explaination of Naive Bayes.
Thank you sir🙏

[@shangfeng3997]

Method of subtracting to get no is wrong as this is conditional probability and the right eq should be : P(RED|YES)+P(YELLOW|YES)=1

[@SamiaMaheen]

Excellent 👌👌👌👌👌👌 bohat acha samjya

[@saloni6242]

Amazing explaination sir❤🎉

[@swastikagarwal6904]

thanks a lot ji, one idiot told me to add all the probabilities in the washroom during the data analytics exam, now i won't screw ml exam
atleast

[@bcaplacementprep6175]

Iss chart ko acche se notice kare to pata chalta h ki issme
RED,DOMESTIC,SUV h hi nahi to chori kaha se hogi😂😅

[@ErSahilkaGyan]

😂😂😂😂are yaar😂😂

[@ShahidJan0]

Hn na😂

[@jatinukey4062]

😂😂😂😂nice observation

[@catworld356]

Very clear and amazing explanation with an easy example......👌👌👌👌👌
Thank you so much for creating this type of videos..💫💫💫

[@praveeni2341]

Yeah

[@ReshmaShaik-zi9rz]

Using Naïve Bayes determine whether a person with GPA=High, Effort=Some, and Confidence=Yes be hired:
A. Yes
B. No
C. The example cannot be classified.
D. Both classes are equally likely

[@Godarceus-x9i]

Thank you bro for your explanation it help alot

[@Godarceus-x9i]

Omg😂😂 i come here again for the same problem but different exam 😭crazyyy

[@cm-a-31-sahilgaikwad4]

Very very helpful video......😄👍👍

[@pritishpattnaik4674]

absolutely amazing sir

[@sabahoda4262]

P(suv/no)=3/5 hona chye.

[@ubais1005]

3/5

[@tanmayk70]

​@@ubais1005 right bro

[@souvikkundu7882]

same

[@keerthanrvarma]

Yes 3/5

[@keerthanrvarma]

Totally there are 5 No

[@Khanmohsin007]

What if x is not given ?

[@myyoutubeisthis]

thank you very much sir

[@Chaitanyasri_08]

Now this vedio hits 1K....😊✨

[@keerthanrvarma]

Thank you 👍👍👍

[@shivamshukla2562]

P(suv|no ) is wrong ,while using bayes's u can't use this property
Pls edit it .

[@luckyhd4583]

nice explaination

[@ReshmaShaik-zi9rz]

Using Naïve Bayes determine whether a person with Effort=lots, and Confidence=No be hired:
A. Yes
B. No
C. The example cannot be classified
D. Both classes are equally likely

[@jatinukey4062]

naive bayes❌ naivi bayes ✅

[@1.educationpoint758]

Very help bro

[@rohannagar9742]

frequency table nhaibanayi hai tune

[@tahashaikh5508]

Bhai solution galat hai .
Probability of yes tak ka formula correct hai .
But jo No ke liye use hua hai wo Galat probability nikalega because it's a conditional probability .
Jo formula yes ke liye apply hua hai wahi formula No ke liye bhi apply Karo ..

[@ezsnipetlive]

Wrong solution

[@sharpsword5589]

BAI GAKAT G TYPE MA 2/5 ATA APNA GALAT KR DYA

[@mdsalmanyusuf6976]

Bhot sorry bol rha ye to

[@divakerkumarroy1276]

Nice