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bhsa's Introduction

Photo by Thomas Bormans on Unsplash

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Education

  • Master of Science in Data Science - University of Notre Dame
  • Master of Theological Studies - University of Notre Dame
  • Master of Divinity - Gordon-Conwell Theological Seminary
  • Bachelor of Arts - North Central University

Certifications

Deep Learning Specialization - DeepLearning.AI (In Progress)
IBM Data Science Professional Certificate – Coursera (May 2020)
150 Hours of Coursework and Projects
  1. What is Data Science?
  2. Tools for Data Science
  3. Data Science Methodology
  4. Python for Data Science and AI
  5. Databases and SQL for Data Science with Python
  6. Data Analysis, Visualization, and Machine Learning with Python
  7. Applied Data Science Capstone

Languages and Tools


Data Science Projects

Classifying and Predicting Salaries
Skills
  • Comparing classification machine learning algorithms: Logistic Regression, Decision Tree, Naive Bayes, and K-Nearest Neighbors
  • Visualizing confusion matrices and AUROC
Python Libraries
  • Pandas
  • NumPy
  • Seaborn
  • Scikit-Learn
  • MatplotLib
Italian Restaurant Reviews - Boston
Skills
  • Scrape restaurant reviews from FourSquare API
  • Capture GeoJSON data from Boston Open Data
Python Libraries
  • Pandas
  • NumPy
  • BeautifulSoup
  • Folium
  • MatplotLib
  • GeoPy
Surviving the USS Indianapolis with Machine Learning (In Progress)
Skills
  • Working with local archivists to collect and clean data
  • Training and testing machine learning models
  • Using logistic regression to predict survivability
Python Libraries
  • Pandas
  • NumPy
  • MatplotLib
  • Seaborn
  • Scikit-Learn

Let's Connect

David M. Smiley | Twitter David M. Smiley | LinkedIn David M. Smiley | Academia.edu David M. Smiley | Gmail


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bhsa's People

Contributors

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