NAIVE BAYES CLASSIFICATION ALGORITHM SOLVED NUMERICAL

This video shows how to solve a numerical based on naive bayes classification algorithm
Consider the dataset and predict the class of new instance X using Naive Bayes classification algorithm.
Tid,Refund,Marital Status,Taxable Amount,Evade
X=(Refund=No,Marital Status=Married,Income=120k)

[@radhaingle4664]

Thank you very much for help... One of the best videos on KZbin for this numerical on naive Bayes classification algorithm..cleared the concept.. Thanks again

[@jasperarian1789]

you all probably dont give a shit but does any of you know a trick to log back into an instagram account..? I somehow forgot my login password. I would love any tricks you can offer me.

[@tushar3549]

You are also for him . Enter my channel and do subscribe plz. I will make tutorial like this. For beginner you're support will help me.

[@recordingsp7833]

Best explanation on KZbin to solve numerical on naive Bayes classification algorithm

[@mohammadrachman1344]

there is alot video talking about naive bayes but this is the one and only explanation naive bayes with numeric data, thank you

[@vaddadisairahul2956]

The formula for Normal/Gaussian Distribution is wrong; It should be exp-((A i - mew ij) ^2)/2 * sigma^2). Please stick to the standard formula and don't make own changes

[@AmanSingh-js3ho]

Thank you bro, now I can solve any type of problems of naive bayes classification 😊

[@tushar3549]

You are also for him . Enter my channel and do subscribe plz. I will make tutorial like this. For beginner you're support will help me.

[@saurabhsarage6554]

Thank you sir....... Simple explanation.....

[@radhaingle4664]

Really appreciated... Best

[@abhishekkale3589]

This is perfect!!!10 out of 10.... amazing simplicity!!!!!it helped me really a lot.... thank you!!!

[@tushar3549]

You are also for him . Enter my channel and do subscribe plz. I will make tutorial like this. For beginner you're support will help me.

[@adharshrajtony5316]

Tq

[@dkrecord6265]

Thank you very much now I can solve any type of problems of naive bayes classification 😊....your videos are really very helpful.... keep uploading more videos.....

[@bharatsoft8886]

awesome.....

[@akshaysahastrabuddhe1558]

thats simply an awesome explanation....thanks a lot for uploading....best video to solve numerical on naive bayes classification algorithm

[@tejaswinimudholkar1383]

Thank you sir...

[@prashantgore4725]

That's a clear and crisp explanation...thanks for uploading...it made the things easy for me....thanks mr. Yogesh Murumkar

[@tushar3549]

You are also for him . Enter my channel and do subscribe plz. I will make tutorial like this. For beginner you're support will help me.

[@summ4628]

Excellent

[@01_mayuriadhao75]

Awesome man.... excellent

[@shamaligunje5959]

best explanation! I understood everything. It will surely help me in my exams. Thank u so much !!

[@sganguly01]

this is the best explanation of N.B. out of many that I have seen! great job

[@omkaravghade9732]

very nice explanation sir

[@sudhadevi3211]

Good explanation!!

[@ellenamori1549]

Thank you for such a great lecture. It helps a lot to understand my course material.

[@tushar3549]

You are also for him . Enter my channel and do subscribe plz. I will make tutorial like this. For beginner you're support will help me.

[@suyashjadhav3756]

P(Income=120k|Class=Yes) = 0.145 not 1.2*(10^-9)

[@wussboi]

Many years!!! Wish u good health!! Save my life...

[@eathealthywithumang]

Thank you so much sir!!! Great explanation

[@yogeshmurumkar]

I am glad if it helped you...

[@muhammadrafianazim2468]

thanks sir, my homework is 100% same like this. hahaha thats make my day easier

[@TechSupport807]

Very good explanation but frequency table was not calculated ..!! Class teacher taught us in discrete values not in case of salary ..!! By the way very well explanation 🤎

[@nikitasinha8181]

Thank you so much sir

[@zeynepsenel3265]

Great explanation! Thank you.

[@lewishoanglong1610]

Your explain is pretty good! Thank you

[@sagarmarri213]

Awesome explanation bro.

[@biradardhanraj9008]

clearly explained ...thank you so much

[@erompanhale24]

Sir please upload the video of impuritiy measure (Gini index and entropy)

[@yogeshmurumkar]

sure

[@adityapatil1245]

In calculation of normal distribution for “yes” from were did 10^(-9) came?

[@shahzodamirov3762]

Perfect explanation, thanks a lot !

[@mastercomputersciencesubje3181]

neatly explained

[@nikhily8646]

Huge thanks to u 🙏🙏🙏🙏🙏

[@yogeshmurumkar]

I am glad if it helped you!!!

[@AWSFan]

Awesome Explanation!

[@mayankdhiman8892]

Aapka hi sahara hai...

[@aashishpokharel9895]

Why has the formula for Normal distribution modified here? Isn't the formula (the front) * e ^ (X- u)**2 / 2 * pi (Sigma)**2 ???

[@VarunHCS]

thanks a lot man

[@rohithchintu1120]

can you do a video on Maximal Frequent Item Set, Closed Frequent Item Set in data mining? It will be really helpful to me.

[@yogeshmurumkar]

sure Rohith...

[@rohithchintu1120]

@@yogeshmurumkar thank you 😊

[@umamaheswariyarlagadda9033]

Hi, Laplace smoothing to be done to avoid the zero probability calculation. Appreciate if you can make a video on laplace smoothing in Naive bayes with a solved example. Nevertheless, the video is really helpful.

[@bluestar2253]

That's correct. Laplace smoothing should have been used in this example.

[@k.kaushikreddy1792]

super clarity

[@ra4019]

what will happened if one of the samples does not exist like taxable amount = 80k will be undefined but can we solve it or not !?

[@user-qs4oc8yv8f]

thank you so much i need desision tree continous attribute

[@jamesfernandez5893]

Excellent!!!!

[@nathiya597]

Sir I want ID3 problem in the same question

[@yogeshmurumkar]

sure I will try to come with it.....

[@hidayathidayat4469]

thank you its help me

[@techienomadiso8970]

How is P(A/D) = P(D/A) * P(A)/P(D) related to P(X/D) = P(A/D) * P(B/D) * P(C/D) ?

[@kirans9983]

Shouldnt it be P(X/class=No)=P(no)*P(Refund=No/class=no)*P(Married/class=No)*P(income=120k/class=No). You missed out P(No). Similarly You missed P(yes) for P(X/class=yes).

[@sangramjit2966]

yes that's, what I was confused about

[@misterbean3368]

What if the income given in the instance is not 120k and some other value which is not present in the taxable amount column like 150k?

[@bluestar2253]

Dude, it's not right to have a conditional probability of zero in the multiplication! That's why we use the Laplace smoothing. Read it up!

[@dipanshusharma869]

Sir I think you have calculated wrong contidional probability And thanks for making video

[@minalpatil5671]

can you show how to construct a decision tree for the same dataset?

[@harshkumaryadav3285]

sir , How to calculate the exponential term

[@pratikjaybhaye1292]

dev माणूस 🍻

[@bhaktiawasarkar7387]

In last which vlaue we consider maximum value or minimum

[@yogeshmurumkar]

maximum

[@sevalpatel1997]

You are supposed to handle zero probability error in the solution.

[@kishan6984]

0.0072 is not the answer @ 22:02 I got it as 0.03928 for the normalization

[@NathanLAlvares]

nope. its correct. check again your calculation

[@kishan6984]

@@NathanLAlvares I didn't understand the calculations what is done... can u do step by step

[@swethakuchana2093]

How we should take X value 🤔

[@raghavddps2]

The formula for the normal distribution was wrong

[@ashutoshsarode4191]

Kuch... Jata long nhi hay

[@ashutoshsarode4191]

My prb has 2 columns of district value what to do?

[@shrenikjadhav9982]

This is all wrong

[@rdata8269]

Don't be jealous man ...he is doing good job

[@rajeshmurumkar1638]

Great job. You deserve more views