JupyterLab renderer of dagitty causal diagrams
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Updated
Oct 6, 2023 - TypeScript
JupyterLab renderer of dagitty causal diagrams
Repository for the Statistical Foundation of Machine Learning class (INFO-F-422) - Academic Year 2018-2019
An R and Jupyter Notebook implementation of statistical-distribution simulations, binomial-normal approximation analysis, exponential memorylessness, and random-variable transformations. This project was developed as the First Computer Assignment for the Engineering Probability and Statistics course at the University of Tehran.
Jupyter R kernel from a container, designed for working on a jupyterhub server/HPC
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