Unsupervised data Why do some schools produce more entrepreneurs than others? Is it due to great business schools? Is it due to great engineering schools? Is it spending? Is it a lot of factors or combination of factors?

Unsupervised data was collected and the factors are listed below: Its based on spending, number of students, academic ranking (i.e., school quality) for the overall school, engineering school and business school, and the target functions are the number of entrepreneurs or companies produced?

The objective is to determine what factor(s) impact the generation of entrepreneurs. Use the techniques you have learned in class to derive a model to predict the number of companies or engineers i. How many sets of clean data do you have to work with? 5 pts ii. How much of the data will you use for training, validation and test? Why? 5 pts iii. Determine what factors most impact the production of entrepreneurs. 10 pts iv. Derive a model that will predict how many entrepreneurs or companies will be produced based on the attribute variables (e.g., school rank, school size). What are its strength and weaknesses

\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|} \hline \begin{tabular}{r} R&D \\ expenditures \end{tabular} & \begin{tabular}{l} Encineering \\ Expenditures \end{tabular} & School Size & School Rank & \begin{tabular}{r} Business \\ School Rank \end{tabular} & RankEngineer & RankEntrepreneur & School Rank & \begin{tabular}{c} Business \\ School Rank \end{tabular} & RankEncineer & \begin{tabular}{c} # \\ Entrepreneurs \\ Produced \end{tabular} & \begin{tabular}{c} # \\ Companies \\ Produced \end{tabular} \\ \hline \end{tabular}