Analysis on hospital readmission data for diabetic patients using R and Tableau
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Updated
Aug 1, 2017 - HTML
Analysis on hospital readmission data for diabetic patients using R and Tableau
Predicting categories of scientific papers with advanced machine learning techniques involving class imbalance in multi-label data and explainable machine learning.
The objective of this analysis is to better understand the characteristics of Detroit Schools with elevated lead levels as identified via testing in 2016 by aggregating three publicly available data sources from the city of Detroit.
Udacity DAND Project: Identify fraudulent personalities from enron emails and dataset
A CNN model to identify images of plant seedlings.
Stratification of multi-label datasets
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