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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
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  • Introductory
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  • Beginner
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  • Data Science with Python: Machine Learning
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  • Data Science with R: Machine Learning
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    • blog > authors > John Yap
    John Yap

    John Yap

    A statistician with several years of experience working on clinical trials and observational studies. John attended NYCDSA to learn about this very exciting data science field. He hopes to use his experience and data science knowledge to help improve the quality of life.

    Articles Contributed by John Yap
    Capstone

    A Closer Look at Tree Boosting Methods

    by John Yap and Felipe da Silva Santos
    Jul 1, 2018
    Introduction In the book The Elements of Statistical Learning (ESL) the authors stated that, “Boosting is one of the most...
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    Machine Learning

    An Interpretable Prediction Model for House Prices

    by John Yap, Phoebe Zhou, Henry Chau and Michael Caballero
    Jun 11, 2018
    Background Whether it’s a newlywed couple looking to start a family or an investor looking to diversify their...
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    Web Scraping

    How Chain Restaurants Can Use Online Customer Reviews to Improve Their Businesses

    by John Yap
    May 21, 2018
    Preface This post is about using web scraped online reviews data to (1) create a record log that restaurants...
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    R Shiny

    Visualizing Diabetes Clinical Studies Data

    by John Yap
    May 7, 2018
    Introduction Diseases are part of human life. We have been dealing with them throughout history: from the outbreak...
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