Created model used to predict Student "class score" based on academic data such as GPA, extracurriculars, sports, parental history, etc. Class score ranges from 0-4 with 0 being the best class score and 4 being the worst. Used the Student Performance dataset on Kaggle to train this model. Model uses a fully connected neural network with ReLU activation, Batch Normalization, and Softmax to make predictions.
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Created fully connected neural network model that uses ReLU, Batch Norm, and Softmax to make predictions on a student's "class score" given inputs such as GPA, extracurriculars, parental history, study time, etc. Used Student Performance dataset from Kaggle to train model.
abhigoel25/StudentPerformancePredictionModel
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Created fully connected neural network model that uses ReLU, Batch Norm, and Softmax to make predictions on a student's "class score" given inputs such as GPA, extracurriculars, parental history, study time, etc. Used Student Performance dataset from Kaggle to train model.
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