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This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classific…

jzm0144/Educational-Data-Mining

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Educational-Data-Mining

This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classification purpose.

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This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classific…

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