Klasifikasi Pohon Keputusan Dijelaskan dengan Jelas!

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Информация о Klasifikasi Pohon Keputusan Dijelaskan dengan Jelas!

Название	:	Klasifikasi Pohon Keputusan Dijelaskan dengan Jelas!
Продолжительность	:	10.33
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Просмотров	:	406 rb

Best video I have seen on decision tree
Comment from : Dinat Jahan Mili Tasnim

This is by far the best explanation! Great for self teaching
Comment from : Rediet Shewakena

liked, subscribed, shared 😂
Comment from : Ali Affan Yaqoob

wow
Comment from : Ali Affan Yaqoob

🫶🙌 Amazing Video! Thanks for your dedication creating this concept It was pretty clear!
Comment from : Maria Jose Arroyo Doria

Why is it obvious that we would have a horizontal splitting line for X1?
Comment from : Mandrake101

The quality of your video is great !
Comment from : Aniruddh Singh

Excellent video! Thanks a bunch
Comment from : Caio Montagner

you won my heart with that music in between subscribed
Comment from : Ahoora

Loved this video, well elucidated, and awesome graphics
Comment from : Bekezela B Khabo

great video thanks
Comment from : Nada El Nokaly

Think you very Much for this video, watching it from Brazil 🇧🇷
Comment from : Top4 desenhos

You explained better than my professor
Comment from : Mona Ma

how to create such animated video? which software you are using ? thank you
Comment from : Data Science Today

wonderfully explained, thank you so much
Comment from : gi an

Excellent video!!! Clearly explained Would like to clarify why log base is 2? Is it because this example only has 2 classes? For n class situation should we use log base n? Thanks in advance
Comment from : abinav92

Awesome video As a fellow colorblind follower, it is very difficult to discern red/green
Comment from : Chico FTB

This video is not colorblind friendly :(
Comment from : SQUIDWARD OF RIVIA

Very well done!
Comment from : Arpan Kumar

I missed how you decided which data goes right or left So if a number meet the if condition (true case) do we put the number right or left?
Comment from : Moe Al

quick question, is this neural networks explained in a different way / structure or is this something entirely different that leads to similar outputs that neural networks gives
Comment from : AniLaxsus

I actually didn't understand how did u come up with -1log(1) - 0log(0) etc to calculate entropy of each node
Comment from : Sumit Kumar

Also I think that whenever someone talks about something like information gain or entropy he/she must specify (if not obvious) in terms of what That is, information again Who's/which attribute's information gain ? Entropy For which attribute? brAt least I find this missing in my textbook 😅👍🏼
Comment from : Samarth Tandale

Awesome now I am able to link all the concepts and mathematics learnt in textbook with your video ❣️🙏🏾
Comment from : Samarth Tandale

Good video, but wouldn't the decision tree misclassify the red point at (-12, -13)?
Comment from : pickle

first!
Comment from : Oscar Dunge

how do calculate the probability
Comment from : T3alm codi

at 5:43 why is a horizontal line place when you say x1 is less than or equal to 4?
Comment from : Ben Schroeder

Perfect thanks a lot !
Comment from : Ahmet Cihan

Perfect video 😊
Comment from : Ruy Silva

This is one of the clearest explanation have seen on this topic good job
Comment from : sokipriala jonah

I want to thank YouTube algorithm for making me stumble upon this god level video Thank You
Comment from : Soham Dutta

Thank you very much, I wanted to understand the concept and purpose of decision trees before attempting to use them so I could understand the information it produces This video was so helpful
Comment from : Tracy Marr

hood irony subscribe bell
Comment from : Ryan

Excellent explanation Its much more clear now than what my prof has explained Thanks a ton!!!
Comment from : Krishno Sarkar

Amazing
Comment from : Harm Moolenaar

all of this was amazingly well done tysm!
Comment from : Folkus On Me Extras

Very nice and straightforward explanation Thank you
Comment from : Qusai Karrar

I need the slide
Comment from : MHMD AKRAM

Why haven't I found this before? Beautifully explained 🙂 Thank you for making such videos
Comment from : Nowshad Khan

the voicebrbri'd hire a native narrator
Comment from : Outdex

This is amazing nerd! Thank you so much
Comment from : Jude-Harrison Obidinnu

Beautifully explained Thanks, brother
Comment from : Debashis Chakraborty

Thanks bro
Comment from : Adam Professionnel

bravo!!! thank you so so much!
Comment from : Gohard Orgohome

Really nice animation and explaination
Comment from : Pengpeng Wang

5:04
Comment from : Emmanuel Apata

Am i the only one who can see the green points fall within a given radius?
Comment from : cybern9ne

For the first time, I learnt the significance of decision trees and how they predict! Thank you!
Comment from : Ujjwal

Bro this feels like a poor man's neural network!
Comment from : Yūgen

Great video! Do you have a book recommendation or a paper that explains this and further?
Comment from : Alic Kaufmann

Thank You
Comment from : Siddhi Golatkar

So proud of Grant Sanderson @3blue1brown
Comment from : Myspy

You are Bengali I know
Comment from : Sudipan Paul

You are awesome Sir!
Comment from : pjakobsen

Great video, but the colors you use are very difficult for people with red-green-blindness
Comment from : Pete

Dude your explanation is amazing! Good job!
Comment from : Daniel Mihalache

To be able to clearly explain thing and directly deliver information on a subject is such a gift thank you
Comment from : Gehad

Thank you
Comment from : Frias

Best explanation Took me from knowing nothing to a pretty solid understnding Thank you !
Comment from : Dominique De Wet

Amazing video, thanks! Our 2 hour lecture was a complete mess, but this 10-minute video was priceless for my understanding
Comment from : Liselotte Jongejans

This was amazingly clear and easy to understand It will help me a lot in my research actually! Thank you so much for making this video!
Comment from : pexme

This was a great explanation Thank you !!
Comment from : Anuska

blue and yellowbrBLUE AND YELLOW!!!!brTHERE ARE FREAKING COLORBLIND PEOPLE YOU $&·&/ !!!!!
Comment from : weon_penca

thaliavaaaa
Comment from : Akshaj Varma

Wonderful video! Thank you for all the effort you put into it!
Comment from : xx Elurra xx

Great job! Thanks
Comment from : José Ronald da Silva

in just 10 minutes I saw the best explanation, keep it up this will be my fav channel
Comment from : Abdulaziz Alharbi

best explanations i have ever heard nice work
Comment from : Abrar Ali

For somebody who is stupid/dummy: why are the names x0, x1? how does these names correspond to if the line is drawn vertically or horizontally?
Comment from : Simon Farre

Fantastic video I learnt more in 10mins of this video than I did spending over an hour reading lecture slides from uni
Comment from : CavingMonkey

You explained this in 10 minutes! Thank you!
Comment from : Heather and Sharada

Many Thanks!
Comment from : Mehmet

amazing got it in 1st attempt only
Comment from : Dev Kumar

One of the best concept explanations I have heard Cheers
Comment from : Lucas

Love this alreadyyyy, please do moreeeeeeeeeeeeeeeeee
Comment from : RahulRaj Sodadasi

Your videos are beautiful and a great resource -- thank you so much! Just curious, what do you use to make the small animations throughout your videos? As a fellow video creator I'm intrigued -- never seen anything like your style before
Comment from : MetricFruit

🤓🤓🤓🤓🤓🤓🤓🤓
Comment from : C&C_1 Enjoyer

I'm 👽
Comment from : Monang

Great Video!
Comment from : StudySelection

Thank you so much for this video, I appreciate the visuals and how easy to understand it is :)
Comment from : Gabriela Erazo Lainez

Your 10-minute video is more helpful than my prof's 2-hour speech! Crystal clear
Comment from : TrumpBack

2 hours lecture done in 10 mins
Comment from : Samiul Haque

Beautiful video
Comment from : woodworking aspirations

Thanks for you work in your Normalized Nerd channel, can I know the software used by you for editing, coz it would help me in my presentation as the transitions are very smooth, brThanking you
Comment from : kushal hemanth