Home Credit Loan Default Analysis
In this analysis, we present findings from loan default data. We provide a model for predicting loan default status and interpretable customer segmentation.
Posts by Collection
portfolio
Attrition Data Analysis
In this analysis, we present factors related to attrition. Three top factors are presented and relations to other factors are described. Models for attrition and income are presented along with a discussion on performance. Results of the income modeling are interpreted. Finally, some other trends in the data are described.
Regression Modeling of Housing Prices in Ames, IA
A multiple linear regression analysis of housing prices in Ames, IA.
Big Data Lake Solution for Warehousing Stock Data and Tweet Data
We want to build a large-scale data framework that will enable us to store and analyze financial market data and drive future predictions for inverstment.
Character Convolutions for Text Classification
An implementation of Character-level Convolutional Networks for Text Classification in TensorFlow.
Predicting the Next Recession
In this analysis, we propose to model the change in GDP for the United States to attempt to predict recessions.
publications
Multi-Modal Classification Using Images and Text
Published in SMU Data Science Review, 2021
This paper proposes a method for the integration of natural language understanding in image classification to improve classification accuracy by making use of associated metadata.
Recommended citation: Miller, Stuart J.; Howard, Justin; Adams, Paul; Schwan, Mel; and Slater, Robert (2020) "Multi-Modal Classification Using Images and Text," SMU Data Science Review: Vol. 3 : No. 3, Article 6. https://scholar.smu.edu/datasciencereview/vol3/iss3/6/
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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