Naive Bayes Theorem explained with example| Bayesian Classification in data mining| Machine Learning

Naive Bayes classifier in English is explained here with fully solved example. Bayesian Classification in data mining or in Machine Learning in English is explained with all steps in this video of CSE concepts with Parinita Hajra
#NaiveBayesClassifier #BayesianClassification #NaiveBayes #DataMining #MachineLearning #cse #cseconceptwithparinita
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Keep learning, keep supporting 🤝✨💯

[@Mac-gbkr]

Brilliant Video, Helped me understand the entire thing from start to finish

[@CSEconceptswithParinita]

My pleasure 😊 Keep learning, keep supporting 💯

[@EasyMechConcepts]

This is one of the best explanations I have come across!

[@CSEconceptswithParinita]

Glad to hear that 😊

[@SanjaySingh-ud5ju]

Thank you so much madam for this detailed explanation. I will solve for the next tuple and verify answer from you

[@CSEconceptswithParinita]

That's great 👍

[@khushboodogra6991]

At the last step when you are merging both the values..
There should be 0.428 not 0.928...

[@aswinrajan580]

Nyz .......

[@kandisrikanth]

Bayesian classifier predicts the class = 1 for tuple X2 = { 0 , 1, 1 } with P(X2 | class = 1) = 0.0535 and P(X2 | class = 2) = 0

[@rrahulrroyr]

Awesome explanation !!

[@CSEconceptswithParinita]

Thanks for acknowledging 😊

[@manojkasam55]

Solution for X2 is class 1 and value is 0.05353125

[@pranavh_shaurya_tej]

Thank you, helped me lot.

[@CSEconceptswithParinita]

Thanks for acknowledging 😁
Keep learning, keep sharing ✌

[@hackein9435]

Good work!.

[@CSEconceptswithParinita]

Thanks for acknowledging!

[@vamsi4864]

(0,1,1) belongs to class 1

[@djseries683]

Thank u so much to solve this question.

[@CSEconceptswithParinita]

My pleasure 😊

[@NKARANAMLAKSHMI]

Nice explanation 👍

[@NKARANAMLAKSHMI]

Thank you

[@CSEconceptswithParinita]

Keep learning, keep sharing ✌ 😊

[@saichaithanyareddy8457]

Belongs to class 1( 0.499642)

[@sindhujareddysama3251]

class=1