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Learn how to design, develop, deploy and iterate on production-grade ML applications.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Merlion: A Machine Learning Framework for Time Series Intelligence
Wastewater-informed COVID-19 forecasting models submitted to the COVID-19 Forecast Hub
An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
R Shiny Contest 2021 submission
eCTD package for pilot 2 submission
eCTD package for pilot1 submission to FDA
😎 Awesome lists about all kinds of interesting topics
R/Pharma 2023 Conference workshop materials.
Cyclops (Cyclic coordinate descent for logistic, Poisson and survival analysis) is an R package for performing large scale regularized regressions.
Definition and DDLs for the OMOP Common Data Model (CDM)
The Tidymodels Extension for Time Series Boosting Models
Render PowerPoint presentations from R Markdown documents
simulate adverse event reporting in clinical trials with the goal of detecting under-reporting sites.
A demo of an end-to-end machine learning pipeline, using Posit Connect
Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials
Preprocessing, analyzing, and reporting of RNA-seq data
Exploratory Web Apps for Analyzing Clinical Trial Data
Reference based multiple imputation R package