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An Ultimate Guide to Become a Data Scientist
blog > authors > Kathryn Bryant
Kathryn Bryant

Kathryn Bryant

Kathryn has a Ph.D. in Mathematics from Bryn Mawr College. She is a low-dimensional topologist by training whose interest in data science sparked while doing topological data analysis with persistent homology to detect patterns in geospatial data. That interest was kindled when she opted to use R to teach introductory statistics at Colorado College. Kathryn will be on the job market in December 2017.

Articles Contributed by Kathryn Bryant
Capstone

Predicting clicks in mobile advertising: An experiment

by Kathryn Bryant, Paul Ton and M. Aaron Owen
Dec 21, 2017
Introduction  Advertising is a multi-billion dollar industry that acts as a bridge between companies and their customers. While...
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Machine Learning

Housing Prices in Ames, Iowa: Kaggle's Advanced Regression Competition

by Kathryn Bryant, Paul Ton, QUENTIN PICARD and Hans Lau
Nov 20, 2017
Introduction Residential real estate prices are fascinating... and frustrating. The homebuyer, the home-seller, the real estate agent, the...
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Student Works

Data Study on Airline Customer Satisfaction

by Kathryn Bryant
Oct 30, 2017
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
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R

Uncovering Business Opportunities with License Geolocation Data

by Kathryn Bryant
Oct 15, 2017
Motivation Starting or expanding a business is a resource-demanding endeavor that often requires significant research on behalf of...
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