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

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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.
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

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

jasonbourn

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..

harshdeepjaggi

It is one of the best and simplest explanations till far

pritamrajbhar

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

shljohq

Thanks a lot. Love and Respect from Oman

IrfanSaleem

Thank you Krish for Crystal Clear Explanation.❤

utkarsh

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

akashlinganwar

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

sandeepbehera

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

adityatiwari

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

qhwvdny

Bohot achha explain krte ho Sir aap 👌🏻💯

Er_IT_prashantjha

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. 😊

jasanimihir

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 🙏🙏🙏

Keep_Laughfing

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

mainakseal

Wonderful explanation given by you sir in hindi.

maths_impact

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

ruhiraj

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

arunchougale

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

jaiprakashsingh

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

tisujxz

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