Skip to content
View MyreLab's full-sized avatar
👾
geeking out
👾
geeking out
Block or Report

Block or report MyreLab

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MyreLab/README.md

Welcome to my lab 👩🏽‍💻

Myrela Bauman

/'mi.ɾɛ.la bau.man'/

Epidemiologist by day, data science geek by night.

When I’m not analysing disease patterns in R or Python, you'll find me chilling with Euclid, getting lost in a good book, slaying dragons on the PS5, or planning my next hike.

Pinned

  1. webscraping webscraping Public

    Web scraping projects using Selenium, Beautiful Soup, and JSON

    Jupyter Notebook

  2. covid19-JFK-analysis covid19-JFK-analysis Public

    To determine the relationship between the cumulative COVID-19 case count observed in 2020-2021 and the departure volume at JFK airport in NYC during the same time period. Used Python for data wrang…

    Jupyter Notebook

  3. ulysses-sentiment-analysis ulysses-sentiment-analysis Public

    Named-entity sentiment analysis of James Joyce’s 800-page masterpiece. In this NLP project, I scraped the novel Ulysses from the web, tokenized the text, mapped the names of 30 characters, and comp…

    Jupyter Notebook

  4. thames-tidal-variation thames-tidal-variation Public

    Analysing sea level records for every tidal gauge along River Thames

    Jupyter Notebook

  5. python_filereader python_filereader Public

    Data management automation tool. PyPDF2 reads unique identifiers from files and the OS library renames the files in-place with each corresponding identifier.

    Jupyter Notebook

  6. joydivision_plot joydivision_plot Public

    Recreating Joy Division's iconic album artwork in Python, using Matplotlib and Pandas

    Python