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This repo walks you through the steps of creating multiple models on student grades to predict CGPA

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CGPA-prediction

CGPA-prediction is a data science project work consisting of multiple Machine Learning models on student grades to predict CGPA of students , multiple models are created for multiple assumptions to predict CGPA

The notebook uploaded here is also uploaded on kaggle. You can view it and find the feedback of veteran kagglers CGPA-prediction.ipynb

The workflow of predicting CGPA is self explanatory and comments are provided where necessary. A series of models created to acheive the objective of predicting CGPA are as follows:

Machine Learning models Accuracy
Linear Regression 96.34 %
Decision Tree 84.39 %
KNN 91.50 %
SVM 94.53 %
GPR 85.73 %

The dataset CGPA prediction dataset is open-for-all to accomodate learning and research work

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This repo walks you through the steps of creating multiple models on student grades to predict CGPA

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