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