kylebradbury Goto Github PK

autograde

bc-2018

bc-tutorials

Tutorials for the Bass Connections team on deep learning for computer vision

bias-variance

An interactive demonstration of the bias-variance tradeoff

blog

blog_old

blog_pre_2022

d3visualizations

Testing ground for developing d3.js based visualizations

debugging

demo_repo

ece590

Introduction to Machine Learning for Data Science Course Website: ECE/ENERGY 590 at Duke University

edifice-rex

Sample Code for the Edifice Rex Kaggle Competition to Building Detection in Aerial Imagery

firearms

An analysis of data on civilian firearms in the United States

geopython

gradient-descent

An interactive tool for learning how gradient descent works with fitting a function to training data

ids705

ids705_2023

ids705_sp2019

Principles of Machine Learning

ids705_sp2020

Principles of Machine Learning (Spring 2020). Masters of Interdisciplinary Data Science. Duke University

ids705_sp2021

Principles of Machine Learning (IDS705, Spring 2021). Masters of Interdisciplinary Data Science. Duke University

ids705_sp2022

Course website for IDS705: Principles of Machine Learning

indonesia

ml-project-structure-demo

ndvi-module

neural-network-math

A tutorial on the math for simple neural networks

poker_pandas

practicaldatascience

Website for Practical Data Science Course Page

python

A short course introducing students to the Python programming language for data science

skills-introduction-to-github

My clone repository

website

Personal website