Flyweight data mining with R
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Updated
Apr 6, 2016 - R
Flyweight data mining with R
PCA, K-Means and Hierarchical Clustering
Breast Cancer Diagnostic - Machine Learning Classification
Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021
Several measurements are computed from a digitized image of a fine needle aspirate of a breast mass. The goal of this project is to classify the samples as malignant or benign. The data set is provided by UCI Machine learning repository. The overall balanced accuracy of the proposed Ensemble method on the final validation set is 98.84%.
Wisconsin Breast Cancer Prediction Model Comparison
Analysis of the Breast Cancer Winsconsin (Diagnostic) Data Set.
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