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Hindi-Naive Baye's Machine Learning Algorithm Indepth Inution- Part 1

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  • Опубліковано 18 лют 2022
  • In statistics, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong independence assumptions between the features. They are among the simplest Bayesian network models, but coupled with kernel density estimation, they can achieve higher accuracy levels.
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КОМЕНТАРІ • 26

  • @thelalka9957
    @thelalka9957 2 роки тому +6

    Please upload the part 2 of this with one normal example and with one real world example. Please upload as soon as possible. And you're doing the great job man.

  • @thepowerofanime4619
    @thepowerofanime4619 Рік тому +1

    Bhai ji idk u know this. But when u teach in Hindi. Your teaching skills r like God level which other youtubers cant match at all But when u speak English teaching skills feels like normal teacher as other persons on youtube. Your Hindi is god like bro.

  • @garvitaggarwal2649
    @garvitaggarwal2649 2 місяці тому

    totally the most adbudh video out there!! understood the concepts in one go🤩 what else do we want 🥰 but wait there is an example video too🤑🤑

  • @priyankashekhawat4488
    @priyankashekhawat4488 Місяць тому

    Thanks, that really helped. Hindi does make understanding easy

  • @Vidi_111
    @Vidi_111 4 місяці тому

    Thank you..u explain all the things in simple way anyway can understand....

  • @Sumanth_Siddareddy
    @Sumanth_Siddareddy 5 місяців тому

    Thank You sir. Your explanation on math behind naive bayes algo. is really awesome.

  • @poojadixit5608
    @poojadixit5608 Рік тому

    Wowww.. crystal clear explanation.. thank you sir.

  • @mahadevbag7788
    @mahadevbag7788 Рік тому

    Thank you so much Krish Naik, Very nice video

  • @adityashewale7983
    @adityashewale7983 Рік тому +1

    Thank you, it was easy to understand

  • @hellogauravsinha3573
    @hellogauravsinha3573 3 місяці тому

    Best explanation ever ❤

  • @DarshanPatel-gc4gi
    @DarshanPatel-gc4gi 11 місяців тому

    super explain sir
    now i clear it

  • @prernaawasthi7379
    @prernaawasthi7379 2 роки тому +2

    pLEASE Upload the part2 ..for better understanding.
    we are waiting Krish...

  • @reetmishra6553
    @reetmishra6553 6 місяців тому

    Thank you sir ❤

  • @pkumar0212
    @pkumar0212 Місяць тому +1

    👌

  • @arunthokare3488
    @arunthokare3488 5 місяців тому

    Thank you sir

  • @nileshnaik3111
    @nileshnaik3111 2 роки тому

    nice videos sir

  • @pythonpathwithhimalay
    @pythonpathwithhimalay 7 місяців тому

    very nice

  • @AsifAli-rr7wb
    @AsifAli-rr7wb Рік тому

    Nice sir

  • @AnikG22
    @AnikG22 8 місяців тому

    Dear Krish, I am a huge fan of your educational content.
    At 7:35 explanation of P(G and R) is little wrong, it is the joint probability of both events (drawing green ball and red ball) occurring simultaneously. Please let me know if I have understood it incorrectly. Thanks.

  • @user-sn2gl8qm6p
    @user-sn2gl8qm6p 4 місяці тому

    nice sir

  • @muhammadjunaid7822
    @muhammadjunaid7822 2 роки тому +1

    sir please upload more video

  • @shivamstech9491
    @shivamstech9491 Рік тому

    legend

  • @vatsalshingala3225
    @vatsalshingala3225 Рік тому

    ❤❤❤❤❤❤❤❤❤❤

  • @sandipadhikari644
    @sandipadhikari644 Рік тому +1

    Baye yaar easy formula nikalke naa kama liye !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

  • @ManashreeKorgaonkar
    @ManashreeKorgaonkar Рік тому +1

    Thank you, it was easy to understand