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Name: Melissa Mayer
Type: User
Bio: Data Analyst working primarily in Python
Name: Melissa Mayer
Type: User
Bio: Data Analyst working primarily in Python
Built an interactive dashboard visualization to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels.
Analyzed climate data and designed app to retrieve data
Used machine learning techniques to build a model to predict creditworthiness of borrowers for a peer to peer lending services company
Using machine learning technique of K-Nearest Neighbors and visualization tools, our group predicted credit score classification for bank customers based on 10+ features.
Evaluated a database of crowdfunding campaigns to look for trends
Transformed crowdfunding data into 4 usable dataframes and then loaded the data into a Postgres SQL database
Predicted effects of price changes over time on cryptocurrencies using Python and unsupervised machine learning.
Used SQL to analyze employee data from CSV files
Using SparkSQL, I analyzed home sales data to identify key metrics.
This repository contains a dataset, report, code, and R markdown used for predicting liver disease in patients.
Web scraping and data analysis of Mars news and weather sites
This repository contains a PDF report, code, and R markdown files which utilize machine learning techniques to predict movie ratings with data from Netflix.
Created binary classifier using machine learning to assist nonprofits in determining which organizations to fund
Analyzed the performance of drug regimens on mouse tumors
Used Python to analyze company financial records and election results
Using the ETL process our group cleaned and transformed data on retail sales to identify driving factors. Using PostreSQL and ERD, we mapped out the relationships between our tables to display them visually.
Analysis of school district standardized test data using python and pandas.
Analysis of stock market data
This is an analysis of a database of UK food establishments consisting of ratings and hygiene scores.
Visualization of earthquake data using Leaflet
Used Python to analyze weather data around the world and create visualizations
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.