The dataset of pass/fail in an exam for 5 students is given in the table below. If we use Logistic Regression as the classifier and assume the model suggested by the optimizer will become the following for Odds of passing a course:
$\log (Odds) = -64 + 2 \times hours$
1) How to calculate the probability of Pass for the student who studied 33 hours?
2) At least how many hours the student should study that makes sure will pass the course with the probability of more than 95%?
