David Wetherhold (dw251414)

dw251414

Geek Repo

Location:NYC

Home Page:https://www.linkedin.com/in/wetherdav/

Twitter:@dw251414

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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.

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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.

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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.

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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.

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Credit_Risk_Analysis

Build and evaluate several machine learning algorithms to predict credit risk.

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Cryptocurrencies

Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

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Election_Analysis

Module 3: Polling in Python

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Kickstarter_Analysis

Module 1: Kickstarting with Excel

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Mapping_Earthquakes

Create interactive maps using Leaflet.js, GeoJSON , Javascript and D3 library to explore earthquakes around the world.

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MechaCar_Statistical_Analysis

R programming language, statistics and hypothesis testing to analyze a series of datasets from the automotive industry.

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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

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Movies-ETL

Created a data pipeline from movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL. Implemented (ETL) - Extract, Transform, Load - to complete

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Pewlett-Hackard-Analysis

Module 7: Prove your SQL Chops

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PyBer_Analysis

Analyze and visualize ride-sharing data using the power of Python, Pandas, and Matplotlib

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School_District_Analysis

Using Python and the Pandas library to analyze school district data and showcase trends in school performance.

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Stock_Analysis

Module 2: VBA of Wall Street

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surfs_up

Climate Analysis X Data Exploration - using Python (Pandas, Matplotlib), SQLAlchemy (ORM Queries) and Flask

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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.

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World_Weather_Analysis

Using APIs to Visualize Weather Data

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