5.11 Proximity measure for Mixed Attributes

[@craizhunterx9033]

Bro, you really give the best explanation :) Thank you so much

[@azeaze0]

Thanks
Simple and direct to the point , u are the best for dissimilarity
keep it up ...

[@harisudhanramaswamy4233]

Thank you SO MUCH!

[@remanics568]

Superb class🎉

[@abu-bakrmohamed1707]

insane explanation , u are the best

[@TheOrganizedProfessional]

The matrix for Nominal is wrong. You have written Code A, Code B, Code C, and Code A in rows and columns where these are actually objects. They should be 1,2,3,4. Also its 'm' not 'yum'

[@jahnavi4258]

It's right, bro..you are wrong

[@zeusx6479]

The only thing you're right about is 'm'

[@abdulelahal-yousuf1198]

its explained in his nominal lecture

[@reddypallitrisha7002]

Thank you soo much broo ❤

[@ABHIJITdas-xt6jy]

bro here p = no. of attribute so p= 3

[@jahnavi4258]

No....
Here p means the total number of nominal attributes in the table, it's just one I.e test 1 only this column has nominal attributes hence p is one

[@ishaat_plays]

that is not how you teach any topic

[@sandeepmishra6478]

tELWAAA

[@shubhamshewale8850]

It's very confusing

[@ishaat_plays]

Your explanation is very complex

[@shahzaibasghar5982]

why are you live in this planet???

[@z0z975]

where else can he live