Predicting Student Admissions with Neural Networks In this notebook, we predict student admissions to graduate school at UCLA based on three pieces of data:
GRE Scores (Test) GPA Scores (Grades) Class rank (1-4) The dataset originally came from here: http://www.ats.ucla.edu/
Loading the data To load the data and format it nicely, we will use two very useful packages called Pandas and Numpy. You can read on the documentation here:
https://pandas.pydata.org/pandas-docs/stable/ https://docs.scipy.org/