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austint1121/README.md

Welcome to my Github

Below is a list of all my significant projects, and a list of articles I've written. Please feel free to reach out to me if you have any questions!

Projects

The NSCH is a household survey that produces national and state-level data on the physical and emotional health of children 0 - 17 years old in the United States.

In the NSCH survey data is a question that asks:

  • Has a doctor or other health care provider EVER told you that this child has… Attention Deficit Disorder or Attention-Deficit/Hyperactivity Disorder, that is, ADD or ADHD?

In this project, I create a tool that can give the probability that a child from the NSCH survey has ADHD, but is undiagnosed.

The (fictional) Cyclops Hospital Network (CHN) has 31 locations where pediatric patients who potentially have viral or bacterial pneumonia may seek diagnosis and care. Given certain symptoms and the severity of those symptoms, many of those patients will undergo X-ray imaging of the chest. Given that a CHN radiologist has a maximum of 12 hours to review these images and the initial assessment of the imaging is done by either an emergency room physician or an urgent care practitioner, who may be less accurate in diagnosing pneumonia via imaging, CHN wishes to create a decision support tool (DST) using a neural network in order to check the assessment of the emergency room and urgent care physicians.

The fictional mayor of the fictional city, Goat city, TN, is ordering Covid vaccines, and is fully aware that not everyone will choose to get vaccinated. Goat city wants to know how many Covid vaccines they should be ordering. They hired my team, the Flatiron GOATS, to assist them with this task.

The city of Seattle is looking to improve low property value neighborhoods. They want to know which neighborhoods would benefit the most from the grants, and what the grants should be used for. We used a dataset of individual houses from King County in Washington state. Using this data, we used linear regression modeling to make recommendations to the city of seattle on which features of a home will increase the property value the most.

The goal of this project is to provide actionable insights to the head of Microsoft's new fictional movie studio. We used data from Box Office Mojo, IMDB, Rotten Tomatoes, TheMovieDB, and The Numbers. After analyzing the data the group decided to recommend a genre of movie to make, which month to release the movie in, and how long the movie should be.

Articles

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  1. Undiagnosed-ADHD-Identification Undiagnosed-ADHD-Identification Public

    In this project, I create a tool that can give the probability that a child from the NSCH survey has ADHD, but is undiagnosed.

    Jupyter Notebook

  2. OES-PneumoniaClassification OES-PneumoniaClassification Public

    In this project we create a tool that can be used for assisting ER physicians with diagnosing pneumonia using xrays of lungs.

    Jupyter Notebook 1

  3. Flatiron_GOATS_Vaccination_Prediction Flatiron_GOATS_Vaccination_Prediction Public

    In this repository we use H1N1 Vaccine data to create a model that can predict if a person received the H1N1 Vaccine based on their responses to the questions in the survey. We then advise our stak…

    Jupyter Notebook 1 2

  4. Jyve00/King_County_Housing Jyve00/King_County_Housing Public

    Phase 2 Project

    Jupyter Notebook

  5. VenusMovieAnalysis VenusMovieAnalysis Public

    The goal of this project is to provide actionable insights to our stakeholder's new movie studio. We make recommendations on: a genre of movie to make, which month to release the movie in, and how …

    Jupyter Notebook

  6. portfolio_site portfolio_site Public

    This repository contains the code for my portfolio and website: mturner.me

    HTML