Naive Bayes, Clearly Explained!!!

[@statquest]

NOTE: This StatQuest is sponsored by JADBIO. Just Add Data, and their automatic machine learning algorithms will do all of the work for you. For more details, see: bit.ly/3bxtheb BAM! Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

[@venkatasubramaniangopalakr7880]

Your videos are one of the best out there in the market in KZbin. Your explain such complicated technological concepts in very simplified terms that a layman can understand. Thank you for taking the efforts and time to teach ML and stats. You deserve an award! :-)

[@JamesJon1187]

Bam!!

[@TheProblembaer2]

Simple and short: THANK YOU JOSH STARMER YOU ARE AWESOME.

[@lucutes2936]

yes

[@zhichensong986]

Honestly Josh, I feel like you could teach machine learning to a 5yr old. This is amazing content, thank you.

[@statquest]

BAM! :)

[@aminkvh7]

@@statquest we will have an MLQuest on youtube kids in 2 months :)

[@mustapham6890]

@@statquest I just like it when you say the word , hahaha . Thank you really for making this looks simple :)

[@Arjun147gtk]

Sometimes I feel that I am watching oswald and then they start teaching the theory.

[@muhammad0104]

... 😅

[@jiunyen5586]

The second I saw that we're gonna talking about spam, I waited for you to say "SPAAAAMMMM" like a 5 yo child. And you deliver as always! Thank you!

[@statquest]

Hooray! :)

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The brilliance of StatQuest is how the use of prosody and cartoonish visuals can tap into my "child" brain which in turn allows me to stay focused, entertained, and makes these concepts seem so simple. Genius!

[@statquest]

Hooray! :)

[@hanadibinmujalli965]

we are lucky that you decided to create this channel & teach us ML in very clear & entertaining way!!

[@statquest]

Thank you!

[@jeremyhofmann7034]

I subscribed immediately after “beep boop beep boop”. Honestly this may help me find a love for statistics after a bad college education experience with it in the 90’s.

[@statquest]

Bam!

[@dacxj0]

I don’t usually comment anything here but, wow, this is by far the most clearly explained thing I have ever seen, it’s more clear that 1+1, thank you for this amazing work

[@statquest]

Thank you!

[@danverzhao9912]

This is what I call quality teaching, stuff that I expect from unis that are offering online lectures because of covid, with nice animation and thoughtful explanation, not just lecturer talking in the lecture hall but recorded like usual improvising.

[@statquest]

Wow, thank you!

[@VideamRaveeni]

maaaaaaaaaaan ! I had been stuck on this topic for a MONTH trying to get the hell out of it... you just cleared everything in 15 MINUTES! You are an absolute HERO.

[@statquest]

Glad it helped!

[@62294838]

This is just soo amazing. I did spend quite a long time reading the lecture notes of other universities online but never get to understand it as thorough as this. Soo good thank youu!!

[@statquest]

Glad it was helpful!

[@YYchen713]

Can only be so clear if the presenter has a profound understanding and thoughts about the topic! Superb!

[@statquest]

Thanks!

[@toituxu749]

When you explain something complicated to everybody and even a 5-year old kid can understand, you BAM DAM genius Thanks DAM much!!

[@statquest]

Thank you! :)

[@arnoyang4017]

This tutorial is actually better than my college lecture, paid $$$ for a paper of degree, sucks

[@statquest]

Bam!

[@VRENDesi]

So u paid

[@Foxie-1]

I like your ML spam filter. Even it's naive version has the benefits: if your friend proposes you a lunch, the message is classified as a good one, but if he asks you for some money, it's thrown to the spam folder)

[@statquest]

:)

[@venkatasubramaniangopalakr7880]

Your videos are one of the best out there in the market on KZbin. You explain such complicated technological concepts in very simplified terms that a layman can understand. Thank you for taking the efforts and time to teach ML and stats. You deserve an award! :-)

[@statquest]

Wow, thanks!

[@moindalvs]

Prabhakarna Sripalawardhana Atapattu Jayasuriya Laxmansriramkrishna Shivavenkata Rajasekara Sriniwasana Trichipalli Yekya Parampeel Parambatur Chinnaswami Muthuswami Venugopal Iyer

[@ritikvaidande4683]

@@moindalvs Did you noted it down while watching that movie?

[@rah651]

@@moindalvs 😂😂

[@allyourcode]

I never thought I would be laughing my head off at a stats lecture. You are truly gifted and a gift to this world. Wow.

[@statquest]

Thank you! :)

[@tanyaneeraj8798]

well, I have an exam tomorrow, and I am binge watching statquest videos and loving the songs and the animated explanation. who says higher-level things need to be boring. Thank you statquest. BAM!

[@statquest]

Good luck with your exam! I hope it goes well. :)

[@marvhartigan3677]

@@statquest BAM! you forgot it, so i did the needful (:

[@subhasreegupta8669]

Being a Data Science aspirant and having zero knowledge in stat(bcz I m from a tech background), you save me in the middle of the ocean. I owe you everything I learnt till now in statistics. I dont know how to thank you.....Thanks a lot and keep making awesome videos for us...

[@statquest]

Thanks!

[@naveenkalhan95]

after seeing this video I feel like there are only 1503 (total views) people in the world who know what Naive Bayes truly means!!! plus Josh Starmer included ... thank you for your great work

[@statquest]

BAM! :)

[@lakshman587]

Now 258,429(total views) people in the world who knows what Naive Bayes truly means!!!! BAM!!!!! Including me!!! 😎😎😎😎😎😎😎

[@hyeongsoo-nim719]

From South Korea, Im really appreciated your dedication for the work. I have been struggling with understanding it, but its completely understandable .

[@statquest]

Bam! :)

[@albert_chen]

I just stared machine learning and your songs just bring a smile to my face.

[@statquest]

Hooray! :)

[@ricardogomes9528]

The take on Probabilities vs Likelihood was your hero moment for me. I haven't seen such a crystal clear explanation long time. Thks!

[@statquest]

Thank you!

[@jakestbu8692]

I've learnt a few ML algorithms, and this was the first one that I learnt with StatQuest. It was definitely the easiest.

[@statquest]

bam!

[@gustavshochat7792]

My "DOUBLE BAM!" senses started tingling around 12:25 but were abruptly quashed by your "SPAM!" sneak attack. So very grateful for the information you provide and the methods by which you deliver.

[@statquest]

Thank you very much! :)

[@thequeenofspades]

I swear to god authors go out of their way to explain topics like this in the most complicated way possible. I reread the section on naive bayes in my textbook many times, and didn't understand it. Josh made it crystal clear in under fifteen minutes.

[@statquest]

bam!

[@gavinr1425]

We are all fortunate that this channel is free

[@statquest]

Thanks!

[@christopherreif3624]

You are the reason why I'm getting through my graduate level statistical courses. I'm glad I had found you!

[@statquest]

Good luck!!! :)

[@hasnainkhan2959]

Thank you so much, tomorrow is my exam and thank god I found your channel, you explained naive bayes classifier in 15 minutes and my teacher couldn't explain it very well in one hour. Thank you sir.

[@statquest]

Best of luck!

[@hasnainkhan2959]

@@statquest Thank you for your kind words.

[@maitekolarik]

I love your explanations and humor. Thanks a lot for making complex things so much easier.

[@statquest]

Glad you like them!

[@ParminderKaur-zm4kw]

whenever i open your channel video, it seems I have come to the world of watching cartoon series. you start your videos in amazing ways and I just love your voice.

[@statquest]

Thank you! :)

[@nastarankianersi104]

Oh my God learning has never been more fun. And when you say clearly explained you mean we can understand both the words and the meaning so thank you! :D

[@statquest]

Thank you! 😃

[@flavienrobert2516]

I ve been watching many videos about naive bayes but...as usual, Statquest is by far the best. Congratulations !

[@statquest]

Thank you!

[@antoniosalomao6634]

The world needs more videos like these, thank you Josh!

[@statquest]

Thanks!

[@ameliasundman2388]

you're an INSPIRATION to me. If you can make stats fun, i think i can make anything fun in my life for me and other people. You rock!

[@statquest]

Thank you!

[@Vivaswaan.]

What you teach is very helpful, but how you teach is what makes you the best. What a beautiful way of teaching! comprehensive explanation and all the creative lines/ wit you put here and there.

[@statquest]

Wow, thank you!

[@muhtasimbari8951]

Why can't my professors be half as good as you in explaining this stuff? I owe you my project marks StatQuest!

[@statquest]

Thanks!

[@wew6438]

the level of your understanding is astonishing, our children in the future will thank you for your work.

[@statquest]

Wow, thank you!

[@dec13666]

You know when the author of the video cares about their viewers, when you see him replying *every single comment* on this section

[@statquest]

Ha! Yes, I care a lot about the viewers, and I hope that it shows in the videos themselves too.

[@dec13666]

@@statquest Thanks about it! Keep it up with the good work! 😎✌️

[@erniec.2088]

double bam!

[@monishajayanmoni4135]

I went through 2 tutorials but never understood naive bayes clearly. But after seeing ur video I understood it clearly. Thanku so much!

[@statquest]

Hooray! I'm glad the video was helpful. :)

[@alepel792]

Amazing teaching abilities. This is now a complimentary source for my machine learning course - thank you!

[@statquest]

Bam!

[@python_by_abhishek]

When i google for best statistics tutorials, this channel was at top of the list. Thank GOD, it wasn't a spam 😊😊

[@statquest]

BAM! :)

[@abhishekm4996]

I enjoyed it and learnt....Even a kid can clearly understand your video provided the basic probability stuff taught in his/her school...

[@statquest]

Thanks! :)

[@judemungcal1131]

Just about to have my thesis defense, i was planning to use Naive Bayes in my modelling and really didnt understand it. Now this video might be the biggest help for my defense, THANK YOU!!!

[@statquest]

Thanks!

[@nzerusocia9232]

I wish our education system helped us learn the way you teach. I am so thankful to have stumbled upon your channel in this perilous journey of machine learning algos

[@statquest]

Thanks!

[@ianscottuk]

you are genuinely getting me through a masters....

[@statquest]

Good luck! :)

[@mars5617]

I am new to the channel and clearly all videos deserve likes just because of the quality of intro.

[@statquest]

bam! :)

[@jennytamboli5740]

This was so so so so so sooooooooo amazingg!!!!! I have my oral exam tomorrow and your explanation worked like a charm!! Thank you so so much Josh for creating such a video with crystal clear explanation. It is NOT BORING at all rather very interesting and kept me hooked till the end of the video!! :) Bam Bam Bammm!!!!!

[@statquest]

Hooray! And good luck with your exam. Let me know how it goes!

[@jones4540]

Josh, thank you very much 2 days I could not understand about Naive Bayes, thanks to You I figure out how it works

[@statquest]

bam!

[@tymothylim6550]

Thank you Josh for this video! It gave me a great and clear understanding of the Naive Bayes Classifier, as well as a good workaround the '0 probability' problem by using alpha!

[@statquest]

Glad it was helpful!

[@aryangurav3528]

hii, I just started my ML journey and i didnt find anyone who teaches this good, i mean u ARE BAM!!

[@statquest]

Thank you!

[@arpitkakkar2780]

You taught a naive person a Naive Bayes. BAM!!!! Awesome

[@statquest]

BAM! :)

[@jacobkanyi5046]

Why am I finding this a week before exam. This video was easy to understand. Thank you! Triple BAM!!!😂

[@statquest]

Thanks!

[@sruthiparvatha8790]

Thank you so much for this great explanation. You're an awesome teacher, keep up the great content. Can't wait to see more :)

[@statquest]

Thank you! :)

[@znikerizm]

3 years on, and this video is still super helpful, thank you Josh! :)

[@statquest]

Thanks!

[@sudarshanbandyopadhyay9052]

Such nice explanation of the concept, from now onward will follow this channel to learn more stats and probability concepts.

[@statquest]

Hooray! :)

[@ahmed-abubakar]

Honestly the best way to learn to Machine Learning and stats - THANK YOU you made my DAY!

[@statquest]

Thank you very much!

[@akshatshrivastava4524]

I am so lucky , I found this channel, at very start of my Data Science Journey. Thanks Josh. Psst - I am gonna buy your study guides. Hope that is the least I can do to support your effort :-)

[@statquest]

Thank you very much! :)

[@donharris8846]

You Sir, are the King of explaining machine learning concepts. Many thanks!

[@statquest]

Wow, thanks!

[@abdosoliman]

dude, you should never ever stop making videos 😂😂😂

[@statquest]

Thanks! :)

[@sreedharreddy472]

Simple and clear Explanation Sir. I just Enjoy watching your tutorials and learning. The way you explain makes complicated stuff so simple. My respect and humble gratitude to you Sir 🙂 Thank you for your teaching. Keep teaching and keep inspiring many.

[@statquest]

Thank you very much! :)

[@nicolascortegosovissio2824]

Great and funny explanation! Just love the terminology alerts: "Oh nooooo", keep going please!

[@statquest]

Thanks, will do!

[@shubhamsarin2263]

Your videos are the best thing to have happened during this lock-down (I've lost my job and trying to utilize this time to learn more and more). Thank u so much.

[@statquest]

Thank you! And I hope you find a new job soon. :)

[@petercourt]

Wonderfully clear and helpful, thanks for all your hard work making this Josh! :D

[@statquest]

Glad you enjoyed it!

[@JonasWekenborg]

Hey Josh, thanks a lot for this video. It was so so helpful. Little background, why this is so awesome: I'm native German, but quite okay with English. I'm already 40 now and never had to do anything with Stochastics or even Statistics, in fact I was very bad (or let's say uninterested) in Maths back in school. Like 20 years later I finally got a job in AI, but need to do a lot of learning sessions to understand at least the basics (I have other skills that contribute :P). When the course came to Bayes I was totally lost. I watched several videos (of course in German, because that seemed obvious for such a complicated topic) and ended up, watching your Quest. And it nailed it. It's so clear to me now. BAM, Thx so much! You're great at explaining!!!

[@statquest]

Awesome! I'm so glad my videos are helpful. By the way, my book, The StatQuest Illustrated Guide to Machine Learning has a german translation if you are interested: statquest.org/statquest-store/

[@JonasWekenborg]

@@statquest Shameless self promotion, but I'll check it out ;)

[@prof.angelinagokhale6004]

Thank you Josh for this wonderful explanation. It will give me a head start into understanding the mathematical-statistical underpinnings of the algorithm. I am going to strongly recommend your tutorials to my students!

[@statquest]

Thank you!

[@mambakind]

Finally! I understand SOMETHING that has the word "Bayes" in it! Great way to start! Thanks a bunch!

[@statquest]

Glad you liked it!

[@jessicafb5398]

When it says "shameless self promotion" the thought didn't even cross my mind of it being self-promotion, more like "helpful to the viewer" :)

[@statquest]

Thank you! :)

[@AshaiiOokami]

Was expecting a fullblown BAM! at 12:32 and then the SPAM! caught me off guard, it was perfect, now I gotta update my own prior about your BAMs! Thank you, you beautiful man, for the best ml explanations ❤

[@statquest]

Awesome! :)

[@carlosalexramossouza7439]

I don´t know why someone can deslike a great video like that. I say great because it is very well explained and very well produced.

[@statquest]

Thank you very much!!! :)

[@RobertWF42]

Very helpful, thanks Josh! I've also read that Naive Bayes is "naive" because it assumes the conditional probabilities in the formula are independent when in fact they likely are positively or negatively correlated: P("Dear" and "Friend"|N) > P("Dear"|N) x P("Friend"|N).

[@statquest]

Yep. It ignores relationships among words.

[@zahiyoussef2551]

Baaaaaaam i've just discovered that i still a kid , and i feel happy when you explaine with this BAAAAAM thing , it works broo hhhhhhhhhhh.

[@statquest]

bam!

[@sidhantnahak4481]

I just loved the way he was saying,I got all these things. Thanks man!

[@statquest]

Bam! :)

[@pabloruiz5407]

I actually laughed out loud at 12:29 😂 Amazing videos, thank you so much!

[@statquest]

Glad you enjoyed it!

[@Laura-jl7vc]

best channel I could have find in the last month. Thank you so much. I'm doing my master thesis in machine learning and I've never done anything with it before, and this is helping me so much

[@statquest]

I'm glad to hear that my channel is helpful! :)

[@edmundchan8923]

Simple and clear! Like it!

[@statquest]

Thank you! :)

[@Divinemadness2]

I normally get a bit annoyed with sponsorships in videos and/or self-plugs for other videos, but you are one channel where I have 0 problem with it. You put out such an amazing product and clearly care so much about the viewers that you can get away with anything haha. Great job on this video! Beautifully explained.

[@statquest]

Awesome! Thank you!

[@kiranchowdary8100]

I didn't expect that spammm at 12:33 instead of bam I am like literally baaammm

[@statquest]

Bam! :)

[@斯图尔特-r8l]

Your videos are so meaningful and comprehensive! I’m your Chinese fans! Thank you so much!

[@statquest]

Wow, thank you!

[@imshafay]

Your number1 fan here XOXO

[@statquest]

Thanks! :)

[@ashishagrawal4906]

This is the first tutorial related to Machine Learning I found that is actually clear :)

[@statquest]

Thank you! :)

[@TheCJD89]

Not sure why you say "oh no" before a Terminology Alert. They are usually quite helpful :)

[@statquest]

Thanks! :)

[@samarthmehrotra2204]

It is a slight offtrack from the main narrative. So shouting out loud terminology alert makes the viewers (me atleast) mindful that this is kind of a side note.

[@franciscoaragao5398]

“Oh no” is not about terminology alerts. It is about terminology. There are a difference

[@sarmisthadas2617]

Indeed this is the most easiest and intelligible way to remember. Thank You soooo much.

[@statquest]

Glad you think so!

[@sarmisthadas2617]

@@statquest Please make some more videos 😇

[@AOLFlyersNewsletters]

Josh - this was so good! Awesome job. I went to your site to see Study Guides. Do you have package price? That way we get all. And maybe in future come up with a visual study book focussed on ML topics.

[@statquest]

I don't have a package deal price yet since I keep adding new Guides every two or three weeks. However, once I have a full set, I'll come up with a package price.

[@harshparadkar]

Best explanation I've seen KZbin.

[@statquest]

Thank you!

[@shubhamlahan]

Josh is a Godsend for noobs like me. Why Google it when we've got StatQuest! Please accept my BAM, milord.

[@statquest]

BAM! :)

[@kalakannan4247]

Hi Josh, You are the best teacher I have ever seen. I always enjoyed your stat quest videos and I enjoy your book as well. What a pleasure to learn from you

[@statquest]

Thanks!

[@Loachie90]

Just when you expect Bam, you get Spam...

[@statquest]

;)

[@samirkhan6195]

You are my favorite Teacher since i can watch you even when my mind full of stress.

[@statquest]

Hooray! :)

[@winter-survivor]

Oh No!! Privacy alert!! ...since the algorithm needs to read the email to detect spam hahaha. Thanks Josh, great explanation!

[@statquest]

Nice one! :)

[@masthanjinostra2981]

Suitable one?

[@ushadevialankar6595]

Ohh my god..how patient u re..rplied to everyone..nd thnku for ur easy explaination..i have an final examination tomorrow...it helps i hope!!😊

[@statquest]

Good luck! BAM! :)

[@GamerBat3112]

The 45 dislikes are from the Nigerian Prince!

[@statquest]

Awesome! :)

[@masthanjinostra2981]

Don’t troll

[@Gwen_Sable]

Josh, your channel has tremendously increased my confidence in my quest to enter the field of data science. I hope you never stub your left pinky toe ever again. Keep being awesome!

[@statquest]

Ha! Thank you very much! :)

[@josevillalobos547]

I hope one day I get lucky enough to have a research advisor or mentor of any kind like yourself. All your videos are worth gold. Thanks for the all the time you put in to us.

[@statquest]

Wow, thank you!

[@yudhaken2095]

All of your tutorials will really help me in making my final project, and I just want to say thank you very much.

[@statquest]

Glad I could help!

[@TheIronStarks]

I have a test tomorrow and I’m cramming some information, your video has literally saved me so thank you.

[@statquest]

Good luck! :)

[@_zeppeh]

god this video is honestly one of the best videos that I saw in the recent time. Such a joy to watch!

[@statquest]

Thank you!

[@bantuthomas]

Heard a couple of your full-length original songs. I'm undecided whether you are a better teacher or musician. 🤩 (Star struck)

[@statquest]

Wow, thank you!

[@richardtvtv]

Saw this after scouring the internet for imputing nominal variables with other nominal features. Thanks for this 🙏

[@statquest]

Thanks!

[@barankaplan4308]

i don't know what to say... YOU HAVE A PURE TEACHING ABILITY

[@statquest]

Thank you very much! :)

[@barankaplan4308]

​@@statquest i became also a BAM! level subscriber ! hope the community grows larger and larger

[@statquest]

BAM!!! Thank you very much!!! :)

[@Rahulkumar-wp6ve]

Most unique and interactive way of teaching!!!!

[@statquest]

:)