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Name: Corinne Hume
Type: User
Bio: Aspiring Data Analyst | Recent graduate of UC Berkeley Extension's Data Analytics Bootcamp.
Name: Corinne Hume
Type: User
Bio: Aspiring Data Analyst | Recent graduate of UC Berkeley Extension's Data Analytics Bootcamp.
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.
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.
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.
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.
A robot powered training repository :robot:
An Analysis of Kickstarter Campaigns
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".
Statistical analysis of factors affecting vehicle mpg and the manufacturing uniformity of suspension coils using R.
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.
This is a collection of tutorials on how to use python and jupyter notebook to analyze NetCDF files.
We are creating a web scraping app to search for recent news on ocean plastic pollution from multiple websites.
Lab exercises for "Python for Data Science" course
This repo is for demonstration purposes only.
Green Energy Stock Analysis 2017-2018
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.