Admisson-Predictor-Using-GRE-score

uses Kaggle open source dataset for admisson prediction

Linear Regression Algorithm

Flask framework for the webapp

Google cloud for deployment

Model

The model has been saved in binary file format

saving the model to the local file system

filename = ‘finalized_model.pickle’

pickle.dump(reg, open(filename, ‘wb’))

prediction using the saved model.

loaded_model = pickle.load(open(filename, ‘rb’))

prediction=loaded_model.predict(([[320,120,5,5,5,10,1]]))

Google sdk link

https://dl.google.com/dl/cloudsdk/channels/rapid/GoogleCloudSDKInstaller.exe