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Admission Prediction using GRE-TOEFL Scores contains methods of pre-processing data and normalizing it using Box-Cox transformation function. Different models are tried among which Linear Regression gave the best performance

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Admission-Prediction-using-GRE-TOEFL-Scores

Admission Prediction using GRE-TOEFL Scores contains methods of pre-processing data and normalizing it using Box-Cox transformation function. Different models are tried among which Linear Regression gave the best performance

Explanation both related to Dataset and Code is given in the python notebook file

Thank you!

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Admission Prediction using GRE-TOEFL Scores contains methods of pre-processing data and normalizing it using Box-Cox transformation function. Different models are tried among which Linear Regression gave the best performance

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