David Wetherhold's repositories
Unidentified-Flying-Objects
Using JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world.
Amazon_Vine_Analysis-
Data analysis project using PySpark to perform the ETL process to extract data, transform it, connect it to AWS RDS, and load it into pgAdmin. Lastly, performed an analysis via PySpark, Pandas, & SQL to determine biases on reviews.
Belly-Button_Biodiversity
Plotly and Belly Button Biodiversity: Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons. Then deploy your dashboard to a cloud server.
CitiBike-Sharing
This project is an analysis of New York Citi Bike data, using data visualization tools to explore the viability of a bike-sharing business in Des Moines.
Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk.
Cryptocurrencies
Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.
Election_Analysis
Module 3: Polling in Python
Kickstarter_Analysis
Module 1: Kickstarting with Excel
Mapping_Earthquakes
Create interactive maps using Leaflet.js, GeoJSON , Javascript and D3 library to explore earthquakes around the world.
MechaCar_Statistical_Analysis
R programming language, statistics and hypothesis testing to analyze a series of datasets from the automotive industry.
Mission-to-Mars
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display your findings
Movies-ETL
Created a data pipeline from movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL. Implemented (ETL) - Extract, Transform, Load - to complete
Pewlett-Hackard-Analysis
Module 7: Prove your SQL Chops
PyBer_Analysis
Analyze and visualize ride-sharing data using the power of Python, Pandas, and Matplotlib
School_District_Analysis
Using Python and the Pandas library to analyze school district data and showcase trends in school performance.
Stock_Analysis
Module 2: VBA of Wall Street
Twitter-COVID-19-Sentiment-Analysis
This project uses unsupervised machine learning to identify correlations between daily inoculation rates in the USA and twitter sentiment in regards to COVID-19.
World_Weather_Analysis
Using APIs to Visualize Weather Data