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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
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  • Data Science with Python: Machine Learning
  • Intermediate
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  • Data Science with R: Machine Learning
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    • blog > authors > Josh Vichare
    Josh Vichare

    Josh Vichare

    BS in Materials Science & Engineering with a concentration on the study of Nanomaterials at Rutgers University. Josh has worked in the biomedical engineering field for close to 4 years in research and development, analyzing various performance metrics for novel devices. His experience in experimental design and analysis has lead him to realize his passion for data science. In his spare time, he can be found training for rock climbing and playing guitar.

    Articles Contributed by Josh Vichare
    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

    Analyzing Critic and User Movie Reviews

    by Josh Vichare
    May 22, 2018
    Introduction Metacritic stands as one of the most popular review aggregators for all types of media. What that...
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    R

    Analyzing Spotify Song Metrics to Visualize Popular Songs

    by Josh Vichare
    May 6, 2018
    How would you go about describing your favorite new song? What makes it catchy to you? According to...
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