Naive Bayes Classifier ll Data Mining And Warehousing Explained with Solved Example in Hindi

[@devarpanatribedi1281]

I couldn't understand the topic despite watching many videos on KZbin. However, after watching your video, all my doubts were cleared.I hope you can understand how amazing teacher you are!

[@sushantkulkarni97]

I hope you get a lot more views on this channel man, great explanation. You'll make a great professor.

[@5MinutesEngineering]

Thanks a lot for your valuable response.

[@sj1997]

@@5MinutesEngineering 84k subscribers all over the globe and still counting

[@yogitajain8003]

@@jamirraja1397 i think he needs to divide by p(orange) and p(banana) and p(others) and multiply p(fruits ) in all but only p(fruits) will be same in all case so it can be neglected

[@pranmyajoshi-3830]

its 6 years for this video but still its so relevent ,for knowledge and end-sem paper ,thanks a lot 👍👍

[@manikuits]

I always thinking Machine learning is very hard, but when i saw this video then machine learning is very easy. Thanks Brother

[@saiprem5380]

bro it is hard

[@akashsingh967]

bro you made it easy because you learn it . if you have time build your algoritm then you will know its essence

[@souravsaha7206]

Whenever i went for any cs related course in KZbin I found many problems regarding understanding the topic..But when i started following you,its going to be change day by day

[@sherleyrn]

You are going to / already are a great teacher. Aapka teaching style is just fantastic. Watching your video once is just enough to grasp the concept. You have a long long way to go! please post many many videos and keep up the good job! (Y)

[@bhalsodnirva104]

👏👏👏u deserve thousands of views..best explanation skills..

[@piyusharya2741]

Ary bhai kya karke maanoge, Itna to college me 4 saal me ni aaya samj jitna aap 10 min me bata dete ho🔥 Big fan of your way of teaching❤ Precise, to the point, and Easiest on YT❤

[@harchitgulati3065]

bhai tu kya karwaake manwana chahta batade

[@vipnirala]

I was hopeless...but now I can see a ray of hope😇

[@ibtehazahmad]

Thank you so much, i have my semester final exam tomorrow on this. Great help indeed, you make it look so easy.

[@sierra_victor1]

Nice Explanation. One correction, I think: in calculating the final probabilities, it should be P(Orange/Fruit) because we are calculating the probability of the item being orange given it has the characteristics of the mentioned fruit.

[@sierra_victor1]

and also multiply by P(Orange)

[@mithunchandrasaha403]

Very Nice Explanation,Sir. Needs More This Type Of Tutorial From You.

[@yuvrajseth8604]

Sir ....aap nahi hote toh data mining to kabhi pass nahi hota...thank u for the wonderful videos...

[@bisheshtalukdar2163]

just love u sir....i was zero in datamining before i found this channel

[@madhukrishnanipankar563]

That was clear and crisp 🔥

[@tanmayzala877]

Sir thank you so much for all kind of help you did this long. I would say I've passed Engineering just on your lectures. the spirit you show in your lectures motivates us a lot.

[@Agrajsingh1]

great exactly, 1 hour left for my exam lol. good.

[@ruchisoni5060]

Great sir... This video is very helpful and in simple language rather than other videos..

[@gargnakshatra]

Thanks for an amazing explanation. Can't hope of getting a better explanation than this. Thanks a lot!

[@zakariahussain2393]

superb methodology to convey the knowledge .. I saw DR.VIVAK BINDRA in your expressions.

[@AK_sheikh933]

Sir You are ray of hopes...God Bless you...Thanks so much..

[@PAVANKUMAR-fu7pb]

Jabardasth explanation bhaiya..very helpful

[@mudasar8629]

The best channel to get the concepts cleared :)

[@tanjidhossain4348]

You are a saver brother.. thanks a lot for your all videos. Really well explained.

[@officialvenu_]

Your way of expressing the content is too👍 good sir.....every point gets clear....

[@AyushiSachan-r2f]

0:27 is perfect screenshot

[@mohammedsufiyankhan306]

Thank You So Much Sir For Simplest Explanation and Excellent ways of Explanation. I Wrote DAA & CD after Seeing and Learning from You lecture videos. ❤❤❤😮😮😮😮#Thanks5MinEngg

[@TECHNODER]

I don't need decode or easy solutions... 5 minutes engineering is enough for BE exams! ❤️

[@tanmaypatil9806]

Did you cleared your be

[@himalpant862]

I really love the way you explained sir ... god bless you (From Nepal)

[@mandymadman]

Better than any college professor.

[@aadilkhan9725]

What a great course sir, very easy explanation. U r awesome sir. 👍👍

[@shikhargupta7552]

Exactly what you need a night before the exam. Good work.

[@anishjain8096]

Bhai yeh kis machine learning kis course me ha me to cs me hoo wha to sirf programming he c cpp or java me bhai yeh subject kha he

[@tusharsrivastava370]

@@anishjain8096 bhai konse year me h... Mostly CS k 3rd year m hota ML... Mere college me bhi 3rd yr m h... Aur elective hota subject... Hum choice mili thi data mining aur ml me se ek m

[@himanshuraj5249]

Great explanation.Thank you soooooooooo Much महोदय 🙏😊

[@crazyguy7665]

Concise and up to the point....great job

[@aakash8010]

Thanks sir, secured 15% with ur help😋

[@anuraggorkar5595]

IMP 🛑But if we have Fruit = { Yellow, Sweet, Sweet, Sweet, Sweet, Long} then by conventional logic seeing Sweet so many times and having sweet as a higher probability for orange we might conclude that it is orange, but the single term Long will make it 0, as compared to other fruits. To counter this we add a small number say 1 to all the zeros in the dataset so that we do not get incorrect output because of zero being present.

[@rockyetchison3380]

Thanks 🙏 so much Sir! Just saw this before exam & my doubts are somewhat cleared. 😌

[@akshayjadhav216]

Sir plz Data analytics ke remaining videos dalao naa sir...plz....C4.5, CART, evaluating decision tree, Smoothing, Diagnostics, classification of diagnostic, sir plz hosake to last 3 unit mein ke syllabus topic explain kro naa sir bahoot hard language hai sir plz

[@amargupta7123]

very nicely explained please keep posting such videos. it helps a lot.

[@kajalzite4219]

plz... make a video on ID3 algo,smoothing,Diagnostic...

[@mahrukhbaloch7644]

Stay blessed sir bhot zbrdst explanation thi thank you so much

[@venkateshnambi1576]

Superb bro great way of explaining....

[@Xxter2]

i think sir you should calculate P(banana/fruit) instead of P(fruit/banana) and same for oranges and others because calculating P(banana/fruit) provides the probability of the fruit being a banana given the observed features, which is the desired outcome in classification tasks, whereas calculating P(fruit/banana) gives the probability of observing the features given that the fruit is a banana but does not directly inform us about the likelihood of the fruit being a banana.

[@krishnaas5927]

exactly

[@sapnaarora9546]

Very nice video. Also, please explain the case of zero probability in Naive Bayes and respective laplace smoothing technique.

[@lone_wolf2020]

Thanks man... It helps me!

[@kannanv8831]

Thank you very much. The explanation simple and elegant.

[@lifeachieve1386]

My college professor used your examples to explain.

[@nks3209]

very nice and simple and to the point Example

[@deepikasen256]

Thankyou Sir♥

[@ayeshanisar7345]

Very good explanation, Thank you sir

[@shahabrao8995]

great explaination sir love from pakistan

[@samiranroyy1700]

Thank you so much sir... really very helpful❤❤❤❤

[@JohnAbraham-zt8hz]

Nice video ❤

[@gurmeharsingh2333]

mango bhi ho sakta hai na XD. thanks for explaining it so easily tho!!

[@chetanyapatharia7174]

This is awesome explanation.. great job...

[@neeteshrajpoot471]

thanks sir😊😊😊

[@i_akam]

Thanks from Kerala 😀😀

[@sneh9817]

KTU Data mining alle? 😂

[@i_akam]

@@sneh9817 haha yaa

[@pranayrewane3794]

or we can use P(A/B) =P(A intersection B) / P(B) works in every case bayes theorom is derived from this property

[@devaaravind1604]

thank you soo much sir,1m thanks to you sir!!!

[@amnaamin6578]

Nice and easy explanation

[@dudeimperfect2409]

in p(orange /yellow) youve mistakenly calculated total orange as 800...it shouldve been 650, just waster 30 mins figuring out why my answers werent matching . Please rectify it!

[@devansh3780]

sir ap dharti par bhagwan ka rup ho😍😍

[@sufyandahar3139]

who need worry about machine learning algorithm, when you have sir

[@hsd287]

Thanks sir bohot sahi 👍🏻❤

[@engrbilalrafiq]

outstanding explanation of every thing

[@shaikfaisalfasi7704]

Your explanation is good

[@souravsaha7206]

Lots of respect to you sir

[@nomankhawaja3864]

Sir u style of explanation is awesome.. however do u have any videos regarding putting these algorithms in coding .. pls do guide me it will be highly appreciated. Great respect from Karachi Pakistan

[@ArhamKhan-f4k]

The question: which fruit is yellow , sweet and long Me with my IQ : banana Respect to sir who explain this consept like butter ❤

[@sahejseth5097]

Great video sir!!

[@rishabhmatharoo1216]

great sir u r a great teacher 👍

[@Mani2011ist]

My search often goes like, "[Topic Name] 5 Minutes Engineering".

[@shubhamsharma5275]

Bayes' Theorem: A fundamental theorem in probability theory that describes how to update the probability of a hypothesis based on new evidence. Naive Bayes: A classification algorithm based on Bayes' Theorem, with the assumption of feature independence.

[@AnkitChaurasiyaVlog]

love from lucknow

[@abhi13091985]

Will you not apply laplace soothing when frequency of P(L|O) is missing.

[@ahtishamqazi108]

You are great bro . Keep it up

[@datascienceworld7041]

Very nice explanation bro 👌

[@QueenCoder]

This was confusing... but u explain good

[@divyakumarishiroji5026]

Jindagi safal Ho gayi hamari 😂😂😂

[@desichannel7401]

Awesome explanation 👌👌👌👌🙏

[@muhammadisrar164]

great sir thank u for your video

[@sumithzoting9016]

ek number sie great

[@IEyshaFatima]

The guy invests his whole meals' energy into his videos

[@harshrajput9982]

You're Doing great job . Do you think row totals in the table are incorrect

[@abdulnayeem4196]

Aap toh chagaye sirji

[@augustinpinto6636]

Awesome brother .. thanks

[@wick_bourne]

Great video and thanks sir!!!

[@apoorvbedmutha457]

I think you are supposed to calculate P(Orange/Fruit) instead of P(Fruit/Orange)

[@palak0408]

are Hi SCOE k senior 😂

[@apoorvbedmutha457]

@@palak0408 😂lol hi, never knew juniors knew me

[@palak0408]

@@apoorvbedmutha457 😂

[@kunalh910]

Nah....its P(Fruit/Orange)...cuz its given that Its orange....but here fruit means the fruit which we need to find ...which is yello,long and sweet....

[@balamira297]

Excellent 👍😌

[@OFF-the-CUFFBytes]

You’re amazing !!! 😊😊

[@veerabehal151]

sir sari examples classification ki ...nd its tooo gud..bt can u gve examples of same classifier based on continous data as label..or regression based predictive modelling

[@HaniyaKhan-s4t]

Assalamualaikum... Sir ye table hmy as a question mily ga exam me ya hm khud bnaty???

[@ABHISHEKTIWARI-zq2jj]

I have a doubt if for example the probability of P(Fruit/Banana) and P(Fruit/Others ) are equal then which probability we will consider

[@sunildogra3975]

Thank you for the explaination.

[@mayurichandra6422]

Well explained 👍👍🙏

[@najibullahvlogs50515]

thanks sir this video is helpfull

[@tejas_machchhar]

Puuri 10 min banana to wo fruit prove karne me laga diya, baad me direct bol diya ki "bhaiya common sence hai banana hi hoga na" 😂😂😂

[@ahmeedev]

Good hu gyaa ustad ji

[@maryamsidratulmuntaha]

Great one. Thanks a lot.

[@geetanjalibhapkar1888]

Sir please upload videos on ... An analytics project - communicating, operationalizing, creating final deliverables.