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🎓 A collection of interactive courses for the swirl R package.
Code accompanying the book "Machine Learning for Hackers"
Statistical Rethinking course and book package
Forecasting Functions for Time Series and Linear Models
Data, Benchmarks, and methods submitted to the M4 forecasting competition
💡 Easily improve the user experience of your Shiny apps in seconds
Modeltime unlocks time series forecast models and machine learning in one framework
Analysis and visualisation of the cryptocurrency market
One day course on causal inference, MPI-EVA 9 September 2021
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
Source code and community enhancements for Automated Trading with R by Christopher Conlan, Springer/Apress Oct. 2016
An R package for performing various cohort diagnostics.
Statistics One offered by Andrew Conwa of Princeton University on Coursera
Materials for the STAMPS 2022 course at the MBL in Woods Hole, MA, USA
Rlgt is an R package for Bayesian Exponential Smoothing
Examples using Google Analytics with R for a range of specific use cases
This repository has the code for the xPacks work that is under submission for academic conference. The code is protected under the below license