Myrela Bauman's Projects
Looked at data from 10.000 apps to assess the relationship between app price, sentiment of reviews, number of installs, rating, app category, and app size (in MB).
Forecasting using ARIMA model in Python. Pmdarima and statsmodel are used
Time series EDA of breathalyzer tests in Ames, Iowa, 2013-2017
All the notebooks for the analysis of Emotional Arcs within the Project Gutenberg corpus, see "The emotional arcs of stories are dominated by six basic shapes"
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 wrangling and examined the relationship with a linear regression.
My roadmap to study Data Science
Dynamically generated stats for your github readmes
Recreating Joy Division's iconic album artwork in Python, using Matplotlib and Pandas
A collection of datasets of ML problem solving
My github.io portfolio
EDA using the Nobel Foundation dataset: looking at nobel laureate trends from 1901 to 2016.
Interactive choropleth maps displaying daily prevalence of COVID-19 for each county in NY State, from 2020 to 2023.
Mapping the percents of NYC residents who received at least one dose of COVID-19 vaccine; 3 levels of coverage mapped using ggplot2
NYC shape files for mapping
Password generator using Python + Secrets module
Python program that calculates daily nutritional requirements for pets and outputs the right combination of wet and dry food based on pet's weight and diet type.
Phyllotaxis in R: creating art using mathematics
R Markdown exploratory analysis looking at the growth and decline of different programming languages over time.
Python code to decrypt and combine all password-protected xlsx files into a dataframe for analysis, using msoffcrypto-tool.
This is a repository for the LinkedIn Learning course Python Object-Oriented Programming
Data management automation tool. PyPDF2 reads unique identifiers from files and the OS library renames the files in-place with each corresponding identifier.
Reading, cleaning up, and visualising Scala's project repository data spanning years 2011-2018
Analysing sea level records for every tidal gauge along River Thames
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 computed sentiment scores for each of these characters.
Web scraping projects using Selenium, Beautiful Soup, and JSON