/Admission-Prediction

By using MLR and RFR accuracy is measured

Primary LanguagePython

Admission Prediction

The project helps the students in prediction of post graduate admission from an Indian perspective. The prediction here is the chance to admit which can be either yes or no.

The details of students such as their scores in GRE, TOFEL, University rank and their Undergraduate GPA and also some additional information which were collected from the previous batch along with their chance to admit to train the model to predict the new student's chance of admission.

Technology used:

  • Multiple Linear Regression(MLR)
  • Random Tree Regressor(RTR)
  • MLR with PCA
  • RTR with PCA