Solved Example Text Analytics or Text Classification using Naïve Bayes Classifier by Mahesh Huddar

Solved Example Text Analytics or Text Classification using Naïve Bayes Classifier by Mahesh Huddar
In this video I will discuss how to do text classification problem using data mining technique such as Naïve Bayes Classifier.
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[@user-hv1wn7zj1x]

I went through your complete series on Naive-Bayes. It was very useful. You could explain it clearly what my professor could not do it over 6 hours.

[@MaheshHuddar]

Thank You
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[@nithyap3600]

P(h/d7) calculates to 0.000034
Not 0.0000067....however the hypothesis is correct

[@omkardeshnur228]

yes

[@ramugowda4882]

Thank you sir during this lockdown your vedios helped me lot for my exams.

[@omkardeshnur228]

im watching after lockdown brah

[@taznainkhan1133]

P (h/d7) = 0.0000365.. even in text book they have given wrong answer but the correct is 0.0000365

[@omkardeshnur228]

yess

[@k_chirsoo1729]

It's 0.00003365

[@talhashahid3845]

What a nice video I found after too much confusion 🌟.

[@MaheshHuddar]

Thank You
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[@vismitha6548]

Thank you sir!!! :)
- From sanj and vis

[@darshanv8345]

Sanj your bf?

[@vikki_vlogs]

Thanks sir ur words helps a lot

[@Kitty_Kontent]

Thnx a lot sir❤️

[@nadeeraranebennur1082]

Tq soo much sir

[@afreenara5143]

Nice explanation sir

[@laxmipatil2087]

Thank u sir

[@soumyanaik19]

Thnq sir

[@shanthacmukartihal4071]

👌

[@MaheshHuddar]

Thank you
Do like share and subscribe

[@adeebalktrani733]

PDF please

[@siddharthmagadum16]

what if both probabilities are same, then what will be the answer? yes or no?

[@theArchitect2000]

You can pick yes or no.

[@rajunayaknayak8385]

Hii maam im from jbiet college. I want the mL all ans

[@darshanv8345]

Sir hai mam nhi bsdk

[@chandunereeksha5099]

doesn't love appears six times??

[@omkardeshnur228]

one love is for NO chandu.

[@darshanv8345]

No baby there are only 5 love for h =yes and 2 love for h=no 💖

[@chetanyadav3447]

h m love 6 time h

[@mathewkpv]

count 'love' in the 'Yes' class alone.

[@srinathakarur9798]

Thank u sir