Hi! Can someone help me with this? Thank you so much. I would really appreciate your answers. This is under Engineering Economics

INSTRUCTIONS: Develop a predictive model for the given dataset. The model should predict the chance of admission of a graduate applicant given a set of features. You are free to perform feature engineering (constructing new features/predictors from the given features/predictors).

DATA SET The data set author was Mohan S. Acharya. This is a data set from 400 Indian Students. The factors included on the data sets are the ones connected in determining the student's result. They are GRE Scores (maximum of 340), TOEFL Scores (maximum of 120), University Rating (maximum of 5), Statement of Purpose (maximum of 5), Letter of Recommendation (maximum of 5), Undergraduate GPA (maximum of 10), Research (0 or 1) and the Chance of admission ( 0- 1). The data provided are the determining factors that will produce the results of the student's chance to enter the university