Will Pope's repositories

big-data-challenge

Performed the ETL process completely in the cloud and uploaded the DataFrame to an RDS instance. Used PySpark and SQL to perform a statistical analysis of the selected data.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

CFP_Top_25

Financial analysis of the top 25 teams in the final College Football Playoff rankings from 2014 - 2017.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

spotify_analysis

Analyzing music features with the Spotify API to inspire songwriting for use in machine learning performances.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

alabama-gameday

This survey was conducted to determine if there are any correlations between individual importance of various aspects of the Alabama Football game day fan experience.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

alcohol-analysis

Data exploration and visualization of alcohol consumption, alcohol production, alcohol related deaths and traffic related deaths in European countries.

Language:JavaScriptStargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0

box_office_predictor

Trained a machine learning model that will predict a movie’s financial performance based on its critical reception.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

leaflet-challenge

Created a map using Leaflet that plots worldwide earthquake data based on magnitude, latitude, and longitude.

Language:JavaScriptStargazers:0Issues:0Issues:0

machine-learning-challenge

Machine learning models capable of classifying candidate exoplanets from the NASA Kepler space telescope dataset.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

cfb-advertising-strategy

ETL Southeastern Conference college football data from 2012-2018 including: revenues, expenses, attendance, and television ratings.

Language:TSQLStargazers:0Issues:0Issues:0

cfb_attendance

This survey and exploratory analysis is intended to help identify important factors college football fans consider when deciding if they attend a game or watch at home.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

D3-challenge

Analyzed the current trends shaping people's lives, as well as creating charts, graphs, and interactive elements to help readers understand the findings about health risks facing particular demographics.

Language:JavaScriptStargazers:0Issues:0Issues:0

ETL_Sportsballs

Ads! College Footballs! Spreadsheets! Oh my!

Stargazers:0Issues:0Issues:0

excel-challenge

Using Excel to modify and analyze the data of 4,000 past Kickstarter projects to uncover market trends.

Stargazers:0Issues:0Issues:0

galaxys-edge

This analysis was conducted to identify popular attractions and important correlations in the guest experience at Star Wars: Galaxy's Edge at both Walt Disney World and Disneyland.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

galaxys_edge_experience_analysis

Analysis that explores guest feedback data about Star Wars: Galaxy's Edge and identifies new competitive advantages in hidden patterns by better understanding fan beliefs, emotions, and sentiments.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

HeroesOfPymoli

Analysis of a free-to-play video game to obtain meaningful insights from player purchasing data using Pandas.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

javascript-challenge

Created a basic HTML web page using a UFO dataset provided in the form of an array of JavaScript objects. Wrote code that appends a table to the web page and then added new rows of data for each UFO sighting.

Language:JavaScriptStargazers:0Issues:0Issues:0

plotly-challenge

An interactive dashboard to explore a dataset that catalogs the microbes that colonize human navels.

Language:JavaScriptStargazers:0Issues:0Issues:0

Pymaceuticals

In this study, 250 mice identified with SCC tumor growth were treated through a variety of drug regimens. Over the course of 45 days, tumor development was observed and measured. The purpose of this study was to compare the performance of Pymaceuticals' drug of interest, Capomulin, versus the other treatment regimens.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

python-api-challenge

Utilized Python requests, APIs, and JSON traversals to visualize the weather of over 500 cities across the world of varying distance from the equator and plan future vacation destinations.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

python-challenge

Python script for analyzing financial records and polling data.

Language:PythonStargazers:0Issues:0Issues:0

sql-challenge

Research project on employees of a corporation from the 1980s and 1990s. All that remains of the database of employees from that period are six CSV files. Designed the tables to hold data in the CSVs, import the CSVs into a SQL database, and answered questions about the data.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

sqlalchemy-challenge

Used Python and SQLAlchemy to do basic climate analysis and data exploration of a climate database.

Language:Jupyter NotebookStargazers:0Issues:2Issues:0
Stargazers:0Issues:0Issues:0

text_generation

Text-based AI training and generation with the aitextgen package using OpenAI's GPT-2 architecture.

Language:Jupyter NotebookStargazers:0Issues:2Issues:0

VBA-challenge

Using VBA scripting to analyze real stock market data.

Stargazers:0Issues:0Issues:0

Web-Design-Challenge

Financial analysis of the top 25 teams in the final College Football Playoff rankings from 2014 - 2017.

Language:CSSStargazers:0Issues:0Issues:0

web-scraping-challenge

Built a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

willcpope.github.io

Personal portfolio website

Language:JavaScriptStargazers:0Issues:0Issues:0