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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 > Michael Chin
    Michael Chin

    Michael Chin

    Michael is a Data Scientist with a strong background in data exploration and data analysis in physical science fields. 10+ years of experience in all aspects of research, from hypothesis formation to data collection, preparation, analysis, and communication.

    Articles Contributed by Michael Chin
    Machine Learning

    Unsupervised dimension reduction and clustering to process data for pooled regression models

    by Michael Chin
    Mar 11, 2018
    Abstract: Unsupervised PCA and hierarchical clustering methods were used to group observations according to 41 dimensions of descriptive categorical...
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    Student Works

    Factors affecting drug reviews on WebMD

    by Michael Chin
    Feb 18, 2018
      For this web scraping project, the user reviews of three drugs were scraped from the website WebMD and...
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    R

    Transitioning NYC heating fuel away from oil

    by Michael Chin
    Feb 4, 2018
    Business Case As of 2018, there are over seven thousand oil burning furnaces still in operation across the...
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