Anomaly Detection with R

Statistical Rethinking Course Winter 2020/2021

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

A small Docker container for using R and TensorFlow as an enterprise API

R Package for Time Series Clustering Along with Optimizations for DTW

Slides for a forecasting course based on "Forecasting: Principles and Practice"

📈 Feature-based Forecast Model Selection (FFORMS) 🕐 🕜 🕙 🕥 🕚 🕦 🕛 🕧 🕑 🕝 🕒 🕞 🕓 🕟 🕔 🕠 🕕 🕡 🕖 🕢 🕗 🕣 🕘 🕤

dockerize R shiny apps

A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

An R package wrapping the US Energy Information Administration open data API.

Code to run submissions for the Atlantic Causal Inference Competition

Code used in the paper "Time Series Clustering via Community Detection in Networks"

Real time tracker and analysis of 2016 USA Elections

Best practices for applying machine learning to bacterial 16S rRNA gene sequencing data

The hourly demand and supply of electricity in the US

The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)

Updated R and Stata and data code from Lopez Bernal IJE 2017

Feature Selection Simulation Files

Shiny-based interactive time series forecasting

Vision Zero Dashboard

Shiny Modules for visualizing flow cytometry data

ABSTRACT: Student dropout is of the utmost concern in higher education and machine learning techniques have become a powerful tool for proactively identifying students at-risk of dropping out. Data…

Mining lake time series with symbolic representation

project looking at differences in POS of "male" and "female" on Twitter

repo for DSCC19 conference

Reproducibility materials for a study of brain metastases incidence and Medicare claims classification accuracy