Machine Learning - Gaussian Naive Bayes, Clearly Explained!!!

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 For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 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