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Achievements

Achievement: Pull SharkAchievement: StarstruckAchievement: Quickdraw

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@s7-stats

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joshuamarie/README.md

Hey there! I'm Joshua. Welcome to my GitHub.

Proficiency

I am proficient enough in these following programming languages:

R Python SQL

I know enough to use these following "low-level" programming languages:

C++ Rust

Skillset

I have several projects, some were made in R, Python, and Rust. My compentencies found in specializing the computational programming, not limited to:

  1. Statistical Learning/Machine Learning
  2. Crunching down huge numbers
  3. Bayesian Analysis
  4. Rigorous inferential statistics and simulations

To do those, I utilized several packages and frameworks among those languages, and big thanks to them.

This includes:

i. {tidyverse} suites:

ii. Making apps and reports with:

which I have 2 projects publicly deployed:

  1. Accept-Reject Method Visualization, which is a forked (and a modified) version of R Shiny app by Daniel Heemann.
  2. My personal website.

iii. Machine Learning modelling, which I have several suites:

iv. Making several R packages, and thanks to:

⭐ Feel free to explore my repositories and don't hesitate to reach out for collaborations or questions!

Pinned Loading

  1. kindling kindling Public

    Higher-level interface of torch package to auto-train neural networks

    R 27 5

  2. modules-in-r modules-in-r Public

    Box: Placing module system into R

    R 3

  3. s7-stats/tabstats s7-stats/tabstats Public

    Helpers for Displaying Tables

    R 5

  4. RTorchBNN RTorchBNN Public

    Bayesian Neural Networks in R

    R

  5. s7-stats/statim s7-stats/statim Public

    New form of Higher Level Interface for Statistical Inference

    R 5 3