Udacity DAND Project: Identify fraudulent personalities from enron emails and dataset
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Updated
Aug 29, 2018 - HTML
Udacity DAND Project: Identify fraudulent personalities from enron emails and dataset
End-to-end ML project predicting term deposit subscriptions using bank marketing data.
Stratification of multi-label datasets
A CNN model to identify images of plant seedlings.
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.
Predicting categories of scientific papers with advanced machine learning techniques involving class imbalance in multi-label data and explainable machine learning.
Analysis on hospital readmission data for diabetic patients using R and Tableau
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