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Predicting-Admission

In this project:

  • We will create a deep learning regression model that predicts the likelihood that a student applying to graduate school will be accepted based on various application factors (such as test scores).
  • By analyzing the parameters in this graduate admissions dataset, we will use TensorFlow with Keras to create a regression model that can evaluate the chances of an applicant being admitted.