Representation of Features in Matrix doubt

#1

Good evening to the tutors ,
I was confused about what the features really represent after the toydata lecture,but after some research i understood its practical meaning but i am still a little confused about how features are represented in matrix . Can you provide some simple yet an example with more than two features and how it will be represnted in the matrix?

Also, i hope this topic will be explained more deeply once supervised and unsupervised(clustering) learning starts ?

Thank you
Dinesh

#2

suppose we have to make feature matrix of housing price data having features area and no of rooms
we have dataset of 100 observations so we will construct a matrix with dimension 100X2 where 100=no of observations and 2=no of features.each row will have to values area and no of rooms.

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