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.

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"

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

Working with the causaleffects and igraph