Task 1

Following the Nave Bayes, please predict if the player go out to play if

1. the outlook is Overcast

2. the temperature is cool

3. the humidity is high

4. not windy

Task 2

Please import the admit.csv into Rstudio. In this dataset, we know the GRE score, the GPA, and the rank of 400 applicants for a graduate program. We also know if each of the candidates is admitted. In the admit column, 1 stands for admitted, and 0 stands for rejected. We are going to do clustering based on GRE and GPA for these applicants. Do not forget to standardize the dataset before clustering.

Please do hierarchical clustering using complete link method. If you want only two clusters, what cluster is the 4^th applicant in? If you want three clusters, what cluster is the 4^th applicant in?

Please show the codes while answer the questions.