Decision tree - Entropy and Information gain with Example

[@ahmedpashahayathnagar5022]

Mam, What a clear and simple explanation, i have become your fan of teaching style.

[@jatinkumar7695]

your content is much better than other and easy to learn.😊

[@StudyEnablers]

It's really fantastic ❤

[@surajpawar631]

cart - is used for both classification and regression problem
id3-it is primarily used building classification class task

[@sumanaHossain-n4d]

You have explained very clearly . Thank you.

[@b2rmathematics929]

You are a great teacher

[@RojalinePatro]

nice teaching i liked it very much

[@abuhuraira9887]

Brilliantly Explained!. Thank You!

[@eduflairktucs7636]

Glad you liked it

[@sreebvmcreation9388]

Informative claas and thanks alot

[@aninditadesarkar1960]

Very good explanation..top class...

[@Jkfgjfgjfkjg]

I love your handwriting. What kind of pen(s) are you using?

[@viniciuscalixto2570]

Thank You!

[@payalrashinkar6607]

Very neatly explained.

[@jaigurudev4290]

Thanq Soo much mam 🙏 helped me during internals

[@str5148]

Please provide the notes u have taught.. Thank you mam🙏🙏🙏🙏

[@Iamsmrk_yt]

thanks mam, for sharing this informaion with us .

[@ravinderdavuda5785]

Does CART and ID3 both algorithms use Entropy & Information Gain to construct a decision tree

[@eduflairktucs7636]

ID3 algorithm uses information gain. CART algorithm uses gini index.

[@priscaneema3308]

sooo good! thank you

[@datascience3008]

does the split always has to be a binary split

[@shells_o6938]

simply the best

[@HaomaiCHEN]

讲的好

[@zavedshaik2760]

you are amazing

[@carearayam]

Crear explanación ❤

[@vijair6851]

Mam
Kindly explain gini index also

[@manaraltameemi8695]

Do you do tutoring?

[@suhailjaleel7734]

Can you add pattern recognition videos for ece

[@preenabasil905]

Material pls

[@moviefans7811]

Gain(s,weight) = 0.37

[@pabbasaideepthi6454]

can u upload this notes

[@008_anjalikumari5]

Please upload the notes