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DNN and SVM Classification, KNN, K-Means++, DBSCAN, Affinity Propagation, and Spectral Clustering, and PLS, Principal Component, Gradient Boosting, KNN, and Multinomial Logistic Regression

JackKRasmus-Vorrath/Data_Mining_School_Performance_Data

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Data_Mining_School_Performance_Data

Analyzing Factors Contributing to School Performance in North Carolina, using:

Principal Component Regression,

Partial Least Squares Regression,

Multinomial Logistic Regression,

Gradient Boosting Regression,

KNN Regression,

KNN Clustering,

K-Means++ Clustering,

DBSCAN Clustering,

Affinity Clustering,

Spectral Clustering,

Support Vector Machine Classification,

Dense Neural Network Classification

Team Members: Dr. Jack K. Rasmus-Vorrath, Rangaswamy Nagarajan, Asha Mohan, Andrew Shen

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DNN and SVM Classification, KNN, K-Means++, DBSCAN, Affinity Propagation, and Spectral Clustering, and PLS, Principal Component, Gradient Boosting, KNN, and Multinomial Logistic Regression

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