remolloy1010 Goto Github PK
Name: Rachel Molloy
Type: User
Location: SLC, UT
Rachel Molloy's Projects
apple-watch-health-fitness-tracking
This project is to track and visualize my health and fitness metrics from my Apple Watch using Python and AWS services.
bioactivity---emt-lift
boilerplate-npm
freeCodeCamp API and Microservices course
calendar-timelines
Project Timeline with csv reader
california-housing-data-tutorial
charitable-donations-per-country
charitable-donations-prediction
dash-tutorial
datasciencecoursera
Final Project for "Data Scientist's Toolbox" course on Coursera
datasharing
The Leek group guide to data sharing
dbt-fundamentals
dbt-test-version-control
dbt-tutorial
Running dbt tutorial with BigQuery
districts-data-scrub
Automate data scrubbing of school district names from panel registration file (for mom)
dt-editor
This is a DT Editor Shiny app
lotr-api-app
Practice fetching data from APIs using Lord of the Rings API - https://the-one-api.dev/
love-coupon-app
Streamlit "love coupon" app for my significant other for Christmas, where each coupon is a different event/date/activity we can do together. When he redeems a coupon in the app, he can schedule the…
prefect_cert_course
programmingassignment2
Repository for Programming Assignment 2 for R Programming on Coursera
rachel-molloy.github.io
Personal Portfolio Website
react-nice-resume
Portfolio
react-timelines
React Timelines Library
rstudio_testing
Linking RStudio with GitHub
scaling-graphs
specdata
Data Science - Foundations Using R Specialization - Course 2: R Programming - Week 2 Project
stockbond_montecarlosim
Monte Carlo simulations of stock/bond portfolio performance to analyze risk based on varying allocation ratios and investment periods of time
temporary_test
Linking a pre-existing R Project with GitHub
utah-rivers-council
Volunteer work with Utah River's Council
utah-water-usage
Exploratory Data Analysis of Utah Water Usage between 2015-2019 (data available at https://dwre-utahdnr.opendata.arcgis.com/)
wine_classification
Practice data science tutorial - classification of red wine dataset from Kaggle
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