data science- binary classification

In class, we have done binary classication with labels Y = {0,1}. In this problem, we will be using the labels as Y = {1,1} as it will be easier to derive the likelihood of the P(Y|X). 0 Show that if Y 6 {1,1} the probability of Y given X can be written as (not programming) 1 P(Y|X) = 1 + Wwm c We have learned that the coeicients 60 and 61 can be found using MLE estimates. Show that the Log Likelihood function for 111 data points can be written as(Not Programming) in l(g, 51) = Z ]n (1 + 3ye(o+1x1)) i=1