Part 1-Decision Tree Classifier Indepth Intuition In Hindi| Krish Naik

The decision tree classifier creates the classification model by building a decision tree. Each node in the tree specifies a test on an attribute, each branch descending from that node corresponds to one of the possible values for that attribute.
github url : github.com/krishnaik06/Machin...
Timestamp
0:00:00 Introduction
0:01:01 Agenda
0:02:25 Basic Decision Tree
0:06:25 Examples Dataset
0:07:24 Decision Tree Construction
0:12:16 Pure And Impure Split
0:13:23 Entropy Intuition
0:21:27 Gini Impurity
0:25:14 Information Gain Intuition
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[@krishnaikhindi]

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[@harshdeepjaggi9715]

wonderful explanation sir.... I'm already enrolled in Data Science with one of the edtech of India... no doubt waha ke teachers bhi accha padhate par jo english mei content hai wo mind mei ek baar mei acche se nhi jaata... ye content hindi wala raise ghus gya mind mei ki bus ab hamesha yaad rhega... Thankyou for your efforts..

[@jasonbourn29]

Thanx sir in Hindi explanations you tend to cover topics better(English vedios are also of far better quality than anyone else)

[@aamiransarii]

Many, Many Thanks .....so lovely of you

[@mainakseal5027]

what an amazing tutorial...hats off sirji!!!...

[@sandeepbehera3605]

wonderful explanations sir no one can explain like you...🙏🙏🙏 thankyou..sir😇

[@maukaladka4100]

Worth watching😍😍😍

[@prathameshekal7308]

मंडळ आभारी आहे

[@user-qh1wv2dn1y]

after one an era No one will beat you sir !! incredible explanation thankyou so much sir

[@pritamrajbhar9504]

It is one of the best and simplest explanations till far

[@vidvaanwithromi5213]

wonderfully explained sir!

[@user-sh7lj2oh9q]

Great explaination...hard to find anywhere else👌👌

[@akashlinganwar4810]

hello krish sir... your explanation is easy to understand and anyone can learn easily..thank you sir...😊

[@Er_IT_prashantjha]

Bohot achha explain krte ho Sir aap 👌🏻💯

[@maths_impact]

Wonderful explanation given by you sir in hindi.

[@jaiprakashsingh756]

sir, I really find your videos very helpful. thanks a lot.

[@katw434]

Thanks sir please continue this series

[@user-fw9mt9uz9u]

That was awesome

[@utkarsh5165]

Thank you Krish for Crystal Clear Explanation.❤

[@sauravsahay8803]

You make everything look so easy

[@ruhiraj9551]

Hello Krish sir ..thanku so much 🙏 for a very excellent explanation .

[@adityatiwari7287]

Awesome Explanation....Thanks A Lot....Keep It Up !!!

[@krithwal2850]

Very well explained sirjiiii

[@mrityunjayupadhyay7332]

Great explanation

[@girishgogate2733]

Thankyou krish sir ........

[@gurpreetkaur-pf1bf]

Amazing ❤

[@patelanjali2909]

your teaching skill awesomwe.

[@arunchougale5927]

Very Good explained by you .it is lot help me Thank u very much

[@tuhinbarai7592]

thank you sir..its to understand...

[@ketanitaliya9493]

Thanks it is really helpful and easy to understand

[@osamaosama-vh6vu]

Your legend deae sir thank u be happy 😍

[@dhavalsukhadiya8654]

great explaination sir

[@maths_impact]

Wonderful

[@meenalpande]

Nice explanation

[@krishj8011]

nice tutorial

[@nisho404]

in one word bosssss

[@user-ti8su2jx9z]

In Entropy formula summation of p(x) * log2(p(x))

[@prerakchoksi2379]

wow

[@razashaikh8698]

Sir, can we find information gain using ginny impurity?

[@trueindian1340]

Sir aise hi video bnate rhiye apko shayd pta bhi nhi hogaa ki ye aapki kitni bdi help h DATA SCIENCE lovers ke liye. Dil se dhanyvaad 🙏🙏🙏

[@jasanimihir4994]

As always Very well explained. I have one query sir. You told that if the dataset is very big then use gini index otherwise entropy is fine. But finding the entropy is must for the information gain as no mention of Gini index in information gain formula. So is it possible to use gini index to find information gain? Kindly throw light on that. 😊

[@shaiqmahmood]

There is a way to calculate the Information Gain using Gini index as well.

[@anusuyaghosal6961]

sir you said H(s) is the entropy of root node but i think it is the entropy of target attribute

[@Pankaj_Khanal_Joshi]

Sir sklearrn and seaborn ka video banaiye . thank u

[@neelkalyani7849]

In calculating information gain, can we use gini impurity instead of entropy?

[@abhishekbhad4029]

Very nice explanation sir.i have one question how to get intership as no one is hiring for fresher

[@rushikeshwaghmare3446]

Sir acc to external sites gini impurity ranges from 0-1

[@rushikeshwaghmare3446]

Please confirm on this…

[@vatsalshingala3225]

❤❤❤❤❤❤❤❤❤❤

[@priyanshupokhariya8866]

0*log0 is undefined how is it coming 0??

[@VikasSingh-nq5yx]

Sirrrr.... ❤ I have a question 🙋! If interviewer ask a question why we are using minus ( - ) sign in Entropy? Please reply........ ❤

[@saranshsehrawat8544]

its formula

[@neeraj.kumar.1]

Don't worry they don't ask these types of mathematical formulas. They can ask what is Gini impurity.

[@ShivamSharma-if1oh]

My answer of Entropy is coming 0.6 not 1

[@SpectreWarfare]

Video volume is very less. It is difficult to listen

[@aaqibafraaz6215]

Hello sir

[@aaqibafraaz6215]

You r doing a great job