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  • 👋 Hi, I’m Gideon Dare
  • 👀 I’m interested in datascience and data visualization projects.
  • 🌱 I’m currently learning data science at SMU.
  • 💰 I currently work on data science & data visualization projects for work
  • 💞️ I’m looking to collaborate on open source projects and data sources.
  • 📫 How to reach me on LinkedIn https://www.linkedin.com/in/ayoade-dare-datascience/

aydare's Projects

aydare icon aydare

Config files for my GitHub profile.

dds_401_teamni_case_study2 icon dds_401_teamni_case_study2

This repository contains code written to explore and resolve Case Study #2 for the 401 (Winter 2018) term of the Doing Data Science course at Southern Methodist University’s Master’s of Science in Data Science. The purpose of this case study is to help a talent management firm study attrition rates for various career fields; more specifically, we will determine the top 3 (or more) variables that contribute to high turnover. We will also determine any other interesting trends we find in the data. We will accomplish this using exploratory data analysis and various machine learning algorithms using R, then publish the results using MarkDown. Contributors include Michael J. Wolfe, Ruben Chavez, and Ayoade Dare. Please reach out to one of us with any questions, comments, or feedback.

doing_data_science icon doing_data_science

This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)

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