Let's say you wanted to predict your grades for future exams dependent upon hours studied and hours slept per the journal that you kept based on prior grades. The grades given are letter grades, such as A$,$ A$-,$ B$+,$ B$,$ B$-$ and so forth. Each range accommodates a range of numeric values; for example, $100$ being the maximum, $A+$ are values ranging from $97$ to $100.$ Which of the following machine learning models is your best approach?

Select one:

a$.$ Regression

b$.$ Clustering

c$.$ Classification

d$.$ Long Short$-$Term Memory $($LSTM$)$ network

Clear my choice