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NYC Data Science Acedemy | Blog
On Campus
  • Full Time
  • Data Science Bootcamp
  • Part Time
  • View All Courses
  • Introductory
  • Introductory Python
  • R for Business Analysts
  • Data Science with Tableau
  • Beginner
  • Data Science with Python: Data Analysis and Visualization
  • Data Science with R: Data Analysis and Visualization
  • Big Data with Hadoop and Spark
  • Intermediate
  • Data Science with R: Machine Learning
  • Data Science with Python: Machine Learning
  • Deep Learning
  • Machine Learning in Finance
    • Online
  • Career Track
  • Remote Data Science Bootcamp
  • Short Time
  • View All Courses
  • Introductory
  • Introductory Python
  • Data Science with Tableau
  • Beginner
  • Data Science with Python: Data Analysis and Visualization
  • Data Science with Python: Machine Learning
  • Intermediate
  • Data Science with R: Data Analysis and Visualization
  • Data Science with R: Machine Learning
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    • blog > authors > Jake Ralston
    Jake Ralston

    Jake Ralston

    Jake has a Ph. D. in Mathematics from The University of Maryland, College Park. Originally an algebraic topologist, Jake worked as a trader at Bridgewater Associates for two years after completing his degree. He is now a data scientist with skills in Python, R, and SQL seeking to solve challenging business problems. Jake will be on the job market in July 2018.

    Articles Contributed by Jake Ralston
    Machine Learning

    Using Machine Learning to Build a Predictive Model for House Prices

    by Josh Vichare, Jake Ralston, Olga Yangol and Igor Gitlevich
    Jun 14, 2018
    Introduction The purpose of this project was to build a model to predict housing prices in Ames, Iowa...
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    Student Works

    Yelp Scraping for a Dish Recommender

    by Jake Ralston
    May 21, 2018
    Introduction For this project (github link) I set out to build an app that recommends what dish to...
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    Student Works

    Visualizing NYC Traffic Collisions

    by Jake Ralston
    May 6, 2018
    For this project I chose to build an R Shiny App (app here - github here) to visualize traffic...
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