Chapter 1 README

This is a selection of my projects – curricular, extracurricular, and personal – knitted together as a portfolio using bookdown (Xie 2022) to showcase my skill set in the realm of data and mathematics.

Each chapter is a project with the most recent one at the top.

Project identifiers are  [subject | content]: [ML, DA | R, PY, MATH]

The two main subjects are machine learning and data analysis, written in either R or python, incorporating math, SQL, or shell scripts. SQL and ZSH aren’t included as identifiers but are shown when used.

1.1 Structure

Project 1: NASA-SVM   [ ML | PY ]

Acronym disambiguation with machine learning using NASA white paper abstracts

Project 2: Google Capstone   [ DA | R ]

Data analysis capstone project using Chicago cyclist metadata

Project 3: Visualizing Sentiment   [ DA | R ]

Database querying with SQL and visualizing tweet sentiments

Project 4: NN-XOR   [ ML | PY , MATH ]

The mathematics behind backpropagation and learning XOR, with a Tensorflow example

Project 5: NN-MNIST   [ ML | R , MATH ]

Building and training a neural net from scratch using math and MNIST handwritten digits

1.2 Why Bookdown?

  • Showcases code and provides transparency of the “tools” I use (and in times create, e.g., shell scripts or helper functions)

    • “Proof it works” notebooks (all of the code on here ran successfully)

    • Organizes and cleanly displays everything with a minimalist theme

  • It’s an amalgam of my interests and aligns with my professional skill set

  • I already use bookdown when writing books because I love markdown

    • I personally use obsidian for all of my notes

References

Xie, Yihui. 2022. Bookdown: Authoring Books and Technical Documents with r Markdown. https://CRAN.R-project.org/package=bookdown.