Skip to content

Latest commit

 

History

History
29 lines (15 loc) · 542 Bytes

File metadata and controls

29 lines (15 loc) · 542 Bytes

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