Scott D. Koenigsman's Projects
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Repo for Data Scientists Toolbox Project
The Leek group guide to data sharing
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Plotting Assignment 1 for Exploratory Data Analysis
first repository
Course Project for Getting and Cleaning Data
Python implementation of mancala, including a reinforcement learning actor/critic model and a q-learning model.
my implementations of assignments for Stanford machine learning course CS231n
Repository for Programming Assignment 2 for R Programming on Coursera
Peer Assessment 1 for Reproducible Research
code and documentation for Data Science Specialty Reproducible Data Course Project 2
Config files for my GitHub profile.
Computation using data flow graphs for scalable machine learning