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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. Visit krishnaik.in to get all the materials ---------------------------------------------------------------------------------------------------------------------- Python playlist in hindi : https://www.youtube.com/watch?v=MJd9d9Mpxg0&list=PLTDARY42LDV4qqiJd1Z1tShm3mp9-rP4v Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici ----------------------------------------------------------------------------------------------------------------------- Recording Gears That I Use https://shorturl.at/wzI68 --------------------------------------------------------------------------------------------------------------------------- #krish #machinelearningbusted Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06
