Very nice video Krish.. loved the way you explained each and every minute details.

for question 2 we reject null hypothesis and accept alternate hypothesis because z-test fall less than -0.1

good job

amazing info

awesome job krish

Thank you so much.

thanks for the video

Where are you brother no video in last six month😊

Really helpful video. just a suggestion- it will be better if you teach on topic and then start the next concept. that will make it easier to understand, better notes making and ensures smooth understanding. Thank you

11 percentile is 85

Im python we can use split I guess

omg!!!! tomarrow is my paper Don’t have words to say thank you. I have taken oneneuron platform and I must say you and Sudhanshu sir are the best. Thank you so much for this initiative. ❤❤😇😇

Thankyou so much 👍you are great teacher of stats in hole online platform That amazing this video ............ As we calculate 10 ie 16we just add 1 and we get 17/20*100=85 percentile

Nice guidance sir ❤

85 percentile

Kuch samajh nahi aya sahi se nahi padhaya sir app ne 😢sorry but true

sample size 30 is not rule to select test, we can choose ttest for sample size above 30 also, but due to CL theorem more samples tends to normal distribution means ttest to Ztest

Best Channel that i have ever visted in who carrier what a content what an explanition Hatts off Bhaii.....

Where is the practical implementation ? can anyone guide me where can I find it ?

sir in you video how i can learn these all library's ?

85 percentile is the answer of percentile ranking of 11

life was good when you used to post on this channel

krish, is this channel dead?

but why you take Z table value ? n <30 so do not we need to take t table ?

Timestamps (Powered by Merlin AI) 00:04 - Introduction to Machine Learning Algorithms in Hindi 00:53 - Machine learning algorithms explained in Hindi 03:33 - Understanding machine learning algorithms 04:52 - Introduction to machine learning process 07:48 - Machine learning algorithms help in business decisions. 11:06 - Understanding feature change and its impact on machine learning algorithms 12:13 -Classification and Regression 14:20 - Introduction to Machine Learning Algorithms in Hindi 15:40 - General idea 18:03 - Unsupervised Learning 18:49 - Revision is important for understanding the upcoming topics

great job bundle of respect from Pakistan

maza nai aaya

11percentile of ranking 85%

thank you lord

sir where i see the remaining playlist.

Hindi mei notes chiy

idk why but i found your video on every nov and march ahahahaha

Hat's of your effort sir

Thankyou

17/20 =85

not helpfull

data is raw material of information...

Joooodddddddd , you are the best teacher......... Respect from bottom of my heart..... kya mast padhate ho sir ji ek baar me concept clear ho jata hai......... Thank You

Nursing students watching here bcz we have Subject called Statistics😅

Please add the video om Types of Kernels

Sir what software you used for writing

thank you sir

Which software the guy used plz tells

Which software the guy used plz tells

01:31 - Percentiles and Quartiles are important in statistics 03:02 - Percentage of Even Numbers 04:33 - A percentile represents a value below which a certain percentage of observations lie. 06:04 - The percentile ranking of the value 10 is to be calculated in a dataset. 07:35 - Percentile rank of 10 is 80% 09:06 - Finding percentile ranking and value at a given percentile 10:37 - Percentile and quartile are important measures in data science. 12:07 - Using box plots to find outliers in data

From where you write expected value

Great Filter of Jargons(Inputs) into Simple concept(output) to adhere to ML 🎉🎉

Thanks a lot 🎉

I have a question : 80/5 = 16 but you are showing 13. So, please clear, what is Right ?

❤