52godfrey Goto Github PK

52godfrey.github.io

bestcitytoliveca

Find what city in California is good for living according to correlation between home price/rent and crime rate

d3-project

excel-analytics

fake-news-detector-project

final-project

Fake News! Detector aims to find a way to weed out the real news from the fake news. We create this machine learning model to identify authentic news from the swam of fake news on social media.

javascript-ufo-project

leaflet

nba-player-bio-and-statistics---etl-challenge

There is a short supply of finding a historical database of every single NBA Player's season statistics that also contain some of their biographical information. When trying to find one, they are usually separated, till now. My project goes back to the first season the NBA started charting game statistics and biographical information. With these resources I hope to provide a resource which any fan of the NBA can use to chart innumerous amounts of analyses.

pandas-challenge

As a first task, you've been asked to analyze the district-wide standardized test results. You'll be given access to every student's math and reading scores, as well as various information on the schools they attend. Your responsibility is to aggregate the data to and showcase obvious trends in school performance.

plotly-challenge

pymaceuticals-analysis

As a senior data analyst at the company, you've been given access to the complete data from their most recent animal study. In this study, 249 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. You have been tasked by the executive team to generate all of the tables and figures needed for the technical report of the study. The executive team also has asked for a top-level summary of the study results.

python-api-challenge

python-challenge

Python

resettling-security-project

Using BeautifulSoup, a Python library, we first extracted refugee data from sources such as the United Nations and terror and national security data from the Department of Homeland Security. We then organized the data using Microsoft Excel and continued to clean the data using SQL. Lastly, we used Pandas, another Python library, to analyze over 150,000 unique datasets, and used Regression Analysis to find a very weak correlation between accepting refugees and that same host country experiencing more terror or security threats from 2008 to present.

sql-challenge

sqlalchemy-challenge

vba-challenge

VBA

web-scrape-challenge