Use python to implement the cosine similarity metric. You are not allowed to use a cosine similarity function of any python library

Use the prediction formula that you built in this lab (which is the same one explained in the class) to predict the rating for Alices Item5.

\begin{tabular}{|l|r|r|r|r|r|r|r|} \hline & \multicolumn{1}{|c|}{ A } & \multicolumn{1}{c|}{ B } & C & D & E & \multicolumn{1}{|c|}{ U } \\ \hline 1 & & Alice & User1 & User2 & User3 & User4 \\ \hline 2 & item1 & & 5 & 3 & 4 & 3 & 1 \\ \hline 3 & item2 & & 3 & 1 & 3 & 3 & 5 \\ \hline 4 & item3 & & 4 & 2 & 4 & 1 & 5 \\ \hline 5 & item4 & & 4 & 3 & 3 & 5 & 2 \\ \hline 6 & item5 & & 3 & 5 & 4 & 1 \\ \hline 7 & & & & & & & \end{tabular}