Streamline a data analysis process

A Brief Overview of Causal Inference (xaringan presentation)

Learning graphical models, with a focus on causal models and learning from interventional data.

Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

This repository serves as a research archive for the mini-project "Comparison of Gaussian graphical models (GGM) and Directed Cyclic Graph (DCG) Models as Causal Discovery Tools"

Working with the causaleffects and igraph

This repository is designed to document and explain in-detailed analysis of data, from concepts like mining or transforming to predictive analytics.