Using reticulate to run python plotly in R
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Updated
Jun 5, 2019 - R
Using reticulate to run python plotly in R
Material for Bioconductor 2023 workshop on interoperation with python
R package to create Tableau extracts from a data.frame object via pantab and reticulate
Shiny app to unpack monolithic CWL workflows
2020 EDISON 경진대회 최우수상 수상: "항체의약품 TMDD 모델링을 위한 Edison 앱의 활용"
A Shiny dashboard to manage and compare coffee roasting profiles. Python (via reticulate package) is run to get change in bean temps. There is also the capability to record tasting and cupping notes for each roast. This is a personal project and is a work in progress.
Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN)
R wrapper to python module limmbo for covariance matrix estimation in multivariate linear mixed models in genetics studies
(:snake: vs R) Using RStudio and the reticulate package to benchamark important algorithms across R and Python environments
Machine SurfLearning: Using Machine Learning Models to Predict San Diego Surf Conditions with Historical Buoy Data in Python
Final project for Intro to Data Science w/ R (CAP 5768)
Created prediction algorithm for determining if a customer will cancel at the moment of booking. After eliminating numerous data leakage sources, we achieved a 90% AUROC with a catboost classification model.
Shiny app to upgrade Common Workflow Language (CWL) apps from sbg:draft2 to v1.0
How to incorporate Python in R: My study notes and brief tutorial
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