Write a Python program that learns a TFIDF model from spam_train.csv. Use 
the model to get TFIDF vectors for spam_test.csv. 

Your program will then learn an SVM model (LinearSVC in sklearn) on the 
TFIDF of spam_train.csv and predict spam or ham for spam_test.csv.

Your model should achieve at least 97% accuracy to get full points.

Your program takes in two files spam_train.csv and spam_test.csv and 
outputs the predicted labels as well as their accuracy on the spam_test.csv 
file. Assign label 0 to spam and label 1 to ham.

Directories: /afs/cad/courses/ccs/S20/cs/675/850/<ucid>.
For example if your ucid is abc12 then copy your programs into
/afs/cad/courses/ccs/S20/cs/675/850/abc12.

Your completed program is due before 5pm Aug 6th 2020