Patrick's repositories
landsat-landstats
Using LANDSAT7 satellite images to predict population.
footy-tipping
Tipping AFL games using machine learning to learn machine learning.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
deforestation
Deforestation
del-stats
Downloads, cleans and analyses DEL statistics because the DEL won't do it for us
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
git_training
An interactive git training meant to teach you how git works, not just which commands to execute
insight-website
website for landsat-landstats
pytorch_NEG_loss
NEG loss implemented in pytorch
qanda-scrape
scraping the transcripts from qanda
reduce-the-lead
A program to rank regions with a risk of lead poisoning amongst children
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.