1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example Mahesh Huddar

[@MaheshHuddar]

It takes a significant amount of time and energy to create these free video tutorials.
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[@KarthiDreamr2]

It's really hard to match your time efficiency , awesome explanation

[@jenishshrestha8613]

again some random dude helping me for my finals , op video

[@amoghsinha4305]

Explained better than my university's professor

[@MaheshHuddar]

Thank You
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[@nadeemhussain4080]

Beta class kiya karo University's professor bhi acha padhate h

[@special2388]

Infact,You weren't attentive in the classes.

[@abeeranaeem7127]

Us bro us

[@Krishna_Singh_2111]

To University jata kyu h yahi padh le

[@talibdaryabi9434]

Finally, I found something great for a better understanding of Navie theories. Thank you.

[@MaheshHuddar]

Welcome
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[@NitinSharma-qx4ff]

NAIVE* not navie

[@krishnaa5351]

Most complicated teaching, waste fellow

[@strydomobile]

I like your way to teach, simple and conceptual. I find most people try to sound smart the whole time at the cost of carrying the message over efficiently. Thank you for this video, its clear simple, and to the point.

[@MaheshHuddar]

Welcome
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[@ShivamPanchbhai]

God bless you
you are much better than my college professor

[@malanosi2869]

sir our very much reputed college is making ppt by taking screenshot of ur videos and also making question paper using ur videos.
100% usage of our parents hard earned money by the college

[@SiddharthGargYT]

lol

[@mohitx3g]

😢😂

[@mitheeleshkatyarmal8159]

Top class explanation, Every minute explained in this video is worth hours of explanation.

[@MaheshHuddar]

Thank You
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[@jayanthychakrapani3553]

I really found your video very useful for solving my Homework questions sir, but I was really hoping if you can explain the terminologies in this question : "hobby=tennis ^ good-hacker=yes ^ has-publication=yes", Thank you very much!

[@ritwickghoshal91]

Exactly point to point, Thank you, this video helped me a lot.

[@MaheshHuddar]

Welcome
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[@letsgo2793]

Your Teaching way is actually so good

[@MaheshHuddar]

Thank You
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[@wjrasmussen666]

Best video explaining this on RUclips. Love it. I subbed.

[@MaheshHuddar]

Welcome...

[@rishabhmishra279]

you have explained in a very simple way and intuitive ! thanks a lot.

[@MaheshHuddar]

You're most welcome
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[@jaygupta4214]

are u god or god made me found you at the last moment ??
no faltu bakwas kaam ki baat delivered in accurate way

[@MaheshHuddar]

Thank You
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[@gudurilakshmi3886]

Even our professor uses ur vedio in his ppts😂🙏

[@MaheshHuddar]

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[@topicblogger377]

Are you from Amrita Vishwa Vidyapeetam 😂😂

[@trendingstatus1398]

Yes my professor too😂

[@melaniemurday3138]

Thanks a lot for providing better explanations than my lecturer.

[@MaheshHuddar]

Most welcome!
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[@sharaniloganathan9]

Explained very well sir........ U people r the reason to pass students like me who r studying one day before exam... Thank you so much

[@iniyaviji2796]

Sir super super am very much satisfied.your explanation is very clear.god bless you sir thank you my teacher

[@MaheshHuddar]

Welcome
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[@s0lanav]

Thank you sir for your very good explanation, helped me a lot.

[@eesabkhan]

Wow. You definitely know what you are doing!

[@pauljohnson6844]

Thankyou for the video, This one is the best video I saw for Naive Bayes , Explained it very simple

[@MaheshHuddar]

Welcome
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[@ehtisham_hashmi]

@@MaheshHuddar 0.0053 kesy aaya 6:10 py

[@hossainalif3909]

Thank you very much sir....
I was so confused with naive biase.....
This video cleared all my confusions......

[@MaheshHuddar]

Welcome, glad it helps you
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[@shabeeb4002]

outstanding explanation sir , really appreciated . thanks a lot for giving us such a wonderful explanation . Keep going 👍👍

[@MaheshHuddar]

Thank You
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[@callofdutysuperheroes]

Sir are you serious, how you understood that this is the most accurate way to teach , love you sir ❤

[@MaheshHuddar]

Welcome
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[@herosoftheworld7]

Explained better than meticulous teachers🙌

[@mkjilani]

Thanks!

[@MaheshHuddar]

Thank you for your Support
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[@kayenatsabir1811]

exactly i had watch more videos navie bayes but cannot understand now u are one that i can understand

[@MaheshHuddar]

Welcome
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[@ayushtiwari2009]

Thank you so much sir for this wonderful video, my university professors should learn from you how to teach and deliver in a proper way so that the students can connect.

[@MaheshHuddar]

Welcome
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[@Mazzideno]

Well explanatory ❤❤❤
Somewhere in Nigeria

[@MaheshHuddar]

Thank You
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[@govindjangid6201]

Thanks sir.. very well EXPLAINED 😊

[@tahminaakter4749]

Nice explanation. It's very easy to understand for beginners.

[@MaheshHuddar]

Thank You
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[@ramankumar41]

Sir your explanation is very good !!!!

[@MaheshHuddar]

Thank You
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[@hlgsagar3792]

Understood clearly sir, Thnk you so much

[@fatimaiqra2169]

Very exact and to the point explanation...thanks

[@MaheshHuddar]

You're welcome!
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[@sweetcadbury]

Excellent explanation. Thank you Mahesh

[@MaheshHuddar]

Welcome
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[@mohammedsadiq69]

Bro..Vera level🔥🔥🔥

[@MaheshHuddar]

Thank You
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[@aparajitasingh690]

Thank you for the video sir. Great explanation !

[@MaheshHuddar]

Most welcome!
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[@fashiononyourway]

Keep making such useful videos sir.I understood clearly, thank you so much

[@gauravghosh6562]

what a legend this person is.

[@MaheshHuddar]

Thank You
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[@Crypto-vp8e]

P(yes) p(sunny/y) in dono ke bich mai kya krna hai? Multiply add or subtract?

[@ziedboughanmi4345]

Shih meksh haddar barsha ama tbarkallah aalik taaref tfasser khir ml moudir mtaa el fac mtaana

[@farhana339]

Thank you so much sir.... ❤️It helped us a lot

[@rawushzafar2735]

thank you sir! from Afghanistan

[@MaheshHuddar]

Welcome
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[@RaushanKumar-iw5dn]

Sahi bole bhai... professor kya pdhate pta nhi... ye video dekha kr smj aa jata hai concept kya hai..

[@HariniKaran]

Salute sir tqsm 😭💓💓💓💓

[@data_analytics_study]

Very clearly explained sir, thanks

[@sandlinjames]

Very good walkthrough; thank you.

[@MaheshHuddar]

Welcome
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[@citizen3624]

Thank you Sir..clear explanation..

[@MaheshHuddar]

Welcome
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[@kitchu_chinnu_stories]

In this example you done the normalisation but in example #2 not done ?why?

[@Jash20243]

Sir you are god,god is great.

[@MaheshHuddar]

Thank You
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[@raghuvardhansaripalli9636]

Sir namaste, superb video sir. Thank you so much. I have shared this video to my friends

[@shivamtiwari1897]

sir, you made it very easy to understand

[@MaheshHuddar]

Thank You
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[@laibaajmal6908]

wowwww amazing, thanks a lot sirr

[@mychannel-dg4oc]

Preparing for my exam at the last moment with this video's help ,rather than my class notes 😅

[@muskansanglikarmss9101]

Explained in very simple way..thanku sir🙂

[@seethaselvam7969]

Thank you so much sir🙏

[@tafveezahmad9692]

YOU SAVED MY EXAM

[@tafveezahmad9692]

THANKS ALOT

[@G.keerthi544]

Hi did you pass machine learning exam

[@tafveezahmad9692]

@@G.keerthi544 yes

[@G.keerthi544]

@@tafveezahmad9692 ur jntuk haa

[@tafveezahmad9692]

@@G.keerthi544 no

[@testaunni1284]

Excellent explanation

[@MaheshHuddar]

Thank You
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[@ReshmaA-wh5us]

Aioo nigalam illana nagalam arrear than tq so muchhhhhhhhhh

[@aryasonawane4148]

Best wonderful 😊💯

[@MaheshHuddar]

Thank You
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[@SaileeShingare]

Great explanation. Thank you, sir

[@wanderkidtraveler7429]

⚠️⚠️

[@VinayGupta-mf1js]

Sir please, it is wrong answer....because ques given solution only sunny cool high strong...

[@bilalillahi6347]

Wdym

[@anaymehra7630]

No it is correct

[@anirudhshankarkhedker4400]

(Outlook=Sunny, Temp=Cool, Humidity=High, Wind= Strong) sir is this condition took randomly? or is there an algorithm to take these conditions?

[@chiragjain291]

It will be given in the question (It is like a test set so it tests that for the given set of attribute values what will be the prediction?)

[@aunekhan3794]

Randomly

[@jaideeprathee5951]

This is the question

[@sunnyysn5434]

kcpd explaination bro !! luv u

[@tejasvinnarayan2887]

What if temperature and humidity is real? Like their values are given and there cannot be any logic derived from the dataset?

[@Aziz0.]

I was hoping your videos were arranged in ascending order to make it easier to locate each one.

[@msai4856]

Another great.....

[@MaheshHuddar]

Thank you
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[@ashmitshelke1444]

why are we calculating the probability of overcast / cool /humidity=medium, if we dont need it while prediccting?

[@mumbaikachallenge5526]

Absolute amazing sir

[@MaheshHuddar]

Welcome
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[@kvancadguzel205]

Sir,thanks for the amazing video its so clear. Which book do you use for questions&examples?

[@neggaznabil7570]

Great thanks for your explanation. I have a question: how you can classify a quantitative variables (NUMERICAL values)with NB?

[@MaheshHuddar]

Are you talking about continuous valued attributes..?

[@neggaznabil7570]

@@MaheshHuddar yes about continues variables. I think Gaussian naive Bayes will be applied in this case!!

[@ibraheemzeb5261]

mahesh jaay.. love from NUST jaay...

[@karunanithik1584]

Do we have to multiply all the probablites

[@karthik-varma-1579]

My college done 100 subs today since today is exam

[@divyangmathur]

thanks sir helped a lot

[@MaheshHuddar]

Welcome
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[@estherr7931]

my life saver fr

[@MaheshHuddar]

Thank You
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[@mvikramaditya8264]

@ 4:37 Getting different answer sir for Vnb(yes) Getting 0.0053 and vbn(no) Getting 0.0205 sir

[@mvikramaditya8264]

After normalizing I am getting correct answer sir Thank you great explanation

[@MaheshHuddar]

Welcome
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[@harikrishnajiju2131]

Thank you! Very helpful :)

[@MaheshHuddar]

Welcome
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[@islemsahli737]

you are amazing thank you!

[@MaheshHuddar]

Welcome
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[@mohammadmahbubtalukder3824]

thanks man, great job

[@MaheshHuddar]

Welcome
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[@HARI5H.S]

Hey did u multiple the values fr yes nd no instance?

[@nature..1787]

amazing explanation...

[@MaheshHuddar]

Thank You
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[@abdullahmohan9107]

good explanation sir.

[@muhammadgulzaib7567]

That was sooooo easy man, thanks

[@mehrmalik5860]

how did you decided new instances ? 4:36 time

[@MaheshHuddar]

That was given as part of problem definition

[@soumyabajpai466]

it was very great !!

[@MaheshHuddar]

Thank You
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[@beingasif1279]

Condition is given in question or we can make it our self

[@shaikhuzma786]

Tqsm sir❤

[@MaheshHuddar]

Welcome
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[@ahmarhussain8720]

excellent explanation

[@lekkalaakhila5257]

Good explanation sir

[@trivenimarlapati9857]

Tq u so much sir👏👏

[@Anitha2076]

How to calculate the VNB yes( values)

[@ronakmankale9599]

What if the questions says that find it for a particular tuple?

[@theblacktoe]

helped alot. thankyou

[@HaRa3038]

Perfect 💚

[@MaheshHuddar]

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[@rusiraliyanage6643]

sir , is this Naive Bayes classifier is as same as logistic regression ?

[@NehaKumari-ge8wm]

No

[@anmolgoyal6010]

sir we need to calculate vNB(yes) and no at last step this point not clear

[@ibtehazahmad]

Thank you so much

[@MaheshHuddar]

You're most welcome
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[@mahanteshg609]

What if overcast was choosen ? That makes Probability 0 , which needs laplacian corrections , sir do you have example with laplacian corrections/smoothing?

[@ottovondrunkencoder]

You need to add an alpha value to prior probabilities to eliminate zero values. Please see this video
ruclips.net/video/O2L2Uv9pdDA/видео.html

[@arpitasamanta1883]

can you explain me the calculation how you got .0053 and .0206

[@shaikhuzma786]

We have to multiply the values 2/9×3/9×3/9×3/9×9/14=5.29 approximately equal to .0053

[@sakshivaity9544]

​@@shaikhuzma786 how ?

[@thundersparky2559]

exactlyyyyy brother this is where i got confused tooo and no one has even discussed this in comment section

[@Kritheeshwarb]

In the end shouldnt it be divided by P(sunny) * p(cool) * p(high) * p(strong) . i.e p(new instance)

[@afreenoorul21]

How to calculate vNb(yes) = p(yes) p(sunny).... P(strong)