Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't sweat it! This StatQuest will clear up all your doubts in a jiffy!
NOTE: This StatQuest assumes that you are already familiar with...
Multinomial Naive Bayes: https://youtu.be/O2L2Uv9pdDA
The Log Function: https://youtu.be/VSi0Z04fWj0
The Normal Distribution: https://youtu.be/rzFX5NWojp0
The difference between Probability and Likelihood: https://youtu.be/pYxNSUDSFH4
Cross Validation: https://youtu.be/fSytzGwwBVw
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0:00 Awesome song and introduction
1:00 Creating Gaussian distributions from Training Data
2:34 Classification example
4:46 Underflow and Log() function
7:27 Some variables have more say than others
Corrections:
3:42 I said 10 grams of popcorn, but I should have said 20 grams of popcorn given that they love Troll 2.
#statquest #naivebayes