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amazon_vine_analysis

belly_button_bacteria

bikesharing

In this analysis, Citibike user data from New York City was used to create visualizations in Tableau. The user data was recorded in August, a popular bike renting month.

cdc_public_data

consumer_complaints

A preliminary analysis of consumer complaints taken between the years 2014-2016 by the Consumer Financial Protection Bureau. A PostgreSQL server was used to host the data and SQL queries were performed to find the number of complaints sent and received on the same day, the number of complaints from the states of CA and NY, and other questions.

credit_risk_analysis

The purpose of this analysis was to use machine learning algorithms to predict credit risk. The dataset analyzed was a compilation of credit card credit information from LendingClub. Six different machine learning algorithms were used on the dataset to compare credit risk predictions and determine which model predicted credit risk the best.

cryptocurrencies

ecommerce_business_trends

In this analysis, our group looked at data from the years 2016-2018 of 100,000 orders placed on the Brazilian eCommerce platform, Olist. We used the Random Forest machine learning algorithm to create a web app that predicts customer review scores using the most highly correlated features from the data as user inputs.

election_analysis

github-slideshow

A robot powered training repository :robot:

kickstarter-analysis

An Analysis of Kickstarter Campaigns

mapping_earthquakes

In this project, a Leaflet map with map tile formatting from mapbox was created using earthquake and plate tectonic information imported with API requests. Three different mapbox backgrounds were added as map tile layers, '"streets view", "satellite view", and "navigation view".

mechacar_statistical_analysis

Statistical analysis of factors affecting vehicle mpg and the manufacturing uniformity of suspension coils using R.

mission-to-mars

movies-etl

This analysis created an ETL function to read movie rating data from three files, Wikipedia data, Kaggle metadata, and MovieLens rating data, extracted and transformed the wikipedia and kaggle data into a movies_df, then added the movies_df and ratings.csv file to a SQL database.

netcdf_tutorials

This is a collection of tutorials on how to use python and jupyter notebook to analyze NetCDF files.

neural_network_charity_analysis

ocean_plastic_webscraper

We are creating a web scraping app to search for recent news on ocean plastic pollution from multiple websites.

pewlett-hackard-analysis

plotly_charts

plotly_deployment

portfolio

pyber_analysis

python_for_data_science_lab

Lab exercises for "Python for Data Science" course

roundabout_safety

school_district_analysis

spoon-knife

This repo is for demonstration purposes only.

stock-analysis

Green Energy Stock Analysis 2017-2018

surfs_up

ufos

The purpose of this analysis was to create a web application that allows users to filter UFO sightings by date, city, state, country, and shape from a given data file data.js. An index.html file was written to to have five input boxes and the app.js file was written to filter search results from the data.js file by noticing a change in the input boxes and then returning a table with results that contained the ids of the search criteria.