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Available for contract work or full-time work.
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Available for contract work or full-time work.
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efwoods/README.md

Hi there 👋

  • 🔭 I’m currently working on mastering my understanding of statistics, the model development lifecycle, and professional pythonic development by practicing tidying data, creating models, evaluating models, improving model performance, and practicing audio compression through the Neuralink Compression Challenge.
  • 🌱 I’m currently learning Python Programming and the human mind through An Introduction to Python by Bill Lubanovic and Nancy Kanwisher's 9.13 The Human Brain course through MIT OpenCourseWare.
  • 👯 I’m looking to collaborate with Neuroscientists, Data Scientists, Statisticians, Engineers, & Product Managers.
  • 🤔 I’m looking for help with understanding the biological mechanisms of memory and learning.
  • 💬 Ask me about my current favorite course: MIT's 9.13 The Human Brain, my work with IBM & Clemson University, or my volunteer work with the Helping Hands Charity.
  • 📫 How to reach me [Email is best & available upon request]:
  • ⚡ Fun fact: I was an actor in a variety of plays with the Charleston Stage Company.

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  1. Neuralink-Compression-Challenge Neuralink-Compression-Challenge Public

    This is my solution to the Neuralink Compression Challenge to compress a sample of neural audio losslessly written in python. It includes modules to encode and decode as well as a suite of tests.

    Jupyter Notebook 3

  2. Decoding-EEG-during-AO-MI-ME Decoding-EEG-during-AO-MI-ME Public

    Forked from IoBT-VISTEC/Decoding-EEG-during-AO-MI-ME

    Improvement upon the IEEE Sensors Journal research of decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting.

    Python 1 1

  3. An-Introduction-To-Statistical-Learning-With-Applications-In-R-Second-Edition An-Introduction-To-Statistical-Learning-With-Applications-In-R-Second-Edition Public

    My study of "An Introduction to Statistical Learning with Applications in R Second Edition" by Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani

    HTML 1

  4. R-For-Data-Science R-For-Data-Science Public

    My self-study of the well-written book "R for Data Science" by Hadley Wickham & Garret Grolemund.

    TeX

  5. Facial-Emotion-Detection Facial-Emotion-Detection Public

    M.I.T Applied Data Science Program's Final Project implements Deep Learning and Artificial Intelligence to create a machine learning model that accurately classifies the emotion of an input image o…

    Jupyter Notebook

  6. Watson-Precision-Agriculture Watson-Precision-Agriculture Public

    In collaboration with I.B.M. & Clemson University, this repository contains code for the water stress detection system developed by the Watson-in-the-Watt creative inquiry team. We are developing a…

    Python 7 1