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Name: Matthew Jerrard
Type: User
Bio: Software engineer and MSc. student in AI at the University of Leeds. Interests in AI, ML, science and quantum computing.
Location: London
Matthew Jerrard's Projects
covid19-gov-resp
Project to analyse the effect of government responses on the spread of COVID-19
covid19-modelling
Project to analyse data about the spread of COVID-19 in order to understand factors that affect its spread.
deep-learning-dog-project
Deep learning project 2 - dog breed classifier
deep-learning-project-1
Udacity Deep Learning Project 1 submission
deep-learning-project-2
Udacity Deep Learning Nano Degree Project 2
deep-learning-project-3-simpsons-script-rnn
RNN using LSTMs to generate Simpsons scripts
deep-learning-project-4-dcgan-faces
Deep Learning Nanodegree project to use Deep Convolutional Generative Adversarial Networks to generate handwritten digits and faces.
deep-learning-project-5-quadcopter
Udacity Deep Learning Nanodegree Project 5 - Teach a Quadcopter to Fly
ds-proj1-sup-learn-find-donors
Udacity Data Science Nanodegree Project 1. Using supervised learning techniques to identify potential charity donors.
ds-proj1-t2-elite-athletics
This is my submission for Project 1 of Term 2 of Udacity's Data Science Nano Degree project. It uses data sets obtained from Kaggle to answer questions about the performance of elite athletes.
ds-proj2-dl-imgcls
Udacity Data Science Nanodegree Project 2 (image classification using deep learning and Pytorch)
ds-proj3-disaster-response-pipeline
Project 3 of the Udacity Data Science Nanodegree. This implements extraction and machine learning pipelines deployed in a web app. The purpose is to analyse messages sent during a disaster event in order to help organise the response.
ds-proj3-unsup-clusters
Udacity Data Science Project concerning unsupervised learning. Includes data wrangling and analysis, PCA and K-means clustering to identify population clusters likely to be customers for a company.
ds-proj4-t2-recommendations
Notebook implementing recommendation strategies, including collaborative filtering and matrix factorisation.
lhc-datascience
Applying data science and machine learning techniques to CERN's LHC Open Data.
pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
sandbox
This is an area for experimenting with Git commands
stackoverflow
Findings from Stackoverflow 2017
starbucks_promo
Predicting which customers should receive a promotion.
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