Projects I Contribute To
KeithThings I've Built
Interactive app creation and Machine Learning
This project culminated in creating an interactive app in Shiny. A suite of Machine Learning techniques were also employed, both supervised and unsupervised, from Neural Nets to Linear Discriminant Analysis.
Covid-19 Data Analysis
Using R, ratio of deaths:confirmed for Italy (red), USA (green) and Switzerland (blue). Using data from John Hopkins University.
Covid-19 Data Analysis
Using R, looking at confirmed cases as a fraction of a nation's cases, paints a more complex and more encouraging picture, as testing makes in-roads.
Covid-19 Data Analysis
Impact of transport policy in Italy. Confirmed:tested (red), deaths:confirmed (brown) are contrasted with prevalence in workplaces (purple), transit stations (dark blue) and residential areas (green).
Creating Warholesque animations
Using SimpleImage library (created by Stanford University) to transform one image into a Wharhol display
Facial recognition: dimensionality reduction using unsupervised learning
Comparing two types of dimensionality reduction: Principal Component Analysis and Non-Negative Matrix Factorisation.
Deep Learning using Keras and Tensorflow2
Using Deep Learning for classification of a real world fashion items dataset. An examination of Gradient Descent as an optimisation algorithm.
Vojislav Milanovic
Alex Martin
Wassim
kaltini
Jorj Bauer
Jakob Andrén
Mike Wayne
Cirmall
Memo Santos
nootropic design
atltvhead
Bluebird Labs Doug Peters
Alexander
EsoreDre