Ryan Eaton's Projects
Code to analyze calcuim fluorescence signals that co-modulate with behavior.
Code developed at Eaton Drilling to plot well bore paths from gyroscopic drift log data.
Contains the php code and file structure for interfacing with a mySQL database of job data.
Code to complete homework assignments for CIS 194 Intro to Haskell Programming at http://www.cis.upenn.edu/~cis194/spring13/
Your first Python project! Let's build a test-driven calculator.
Parameter optimization method to determine dynamics of Izikevich simplified neuron model. Developed in Matlab and Mathematica
Detailed development of ML models to predict binary purchase events of online shoppers.
Bootstrap-based analyses of two- and four-parameter psychometric models that are fitted by logistic regression.
Step-by-step description of a power set generator class: ModSet(). Efficiency comparison between the binary mask iterative process and two recursive algorithms for constructing power sets.
Solutions to a collection of exercises from textbooks on reinforcement learning.
Config files for my GitHub profile.
Actor-critic temporal-difference routines in Matlab to simulate activity-contingent reinforcement findings
Jupyter notebook of various machine learning approaches to predict Titanic passenger survival. Written in R.