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Name: Maria Carter
Type: User
Bio: Data Analyst working with different languages: Python, JavaScript, HTML/CSS, SQL, and R.
Name: Maria Carter
Type: User
Bio: Data Analyst working with different languages: Python, JavaScript, HTML/CSS, SQL, and R.
Create worksheets, dashboards, stories from New York City bike-sharing data.
Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons. Then deploy the dashboard to a cloud server.
Predict credit risk with machine learning models and evaluate using Python.
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
Use Javascript's Leaflet library along with the Mapbox API to create visualizations of earthquake data from the U.S. Geological Survey.
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display findings.
Perform ETL on several movie datasets to predict popular films for a streaming service.
Create a deep learning neural network to analyze and classify the success of charitable donations.
Create entity relationship diagrams, perform data modeling, and complete analysis on an employee database using SQL techniques.
A repo to deploy a dashboard via my GitHub Page of my Biodiversity data visualization.
Analyze and visualize ride-sharing data using Python, Pandas, and Matplotlib.
Learning how to use R and statistics in order to analyze vehicle data.
A group project that analyzes data on restaurant inspections and violations as well as community health in Los Angeles and uses a machine learning model to identify and assess factors that could affect grades and scores.
Use Python and Pandas library to analyze school district data and showcase trends in school performance.
Using Python, SQLAlchemy, and Flask, analyze and visualize climate data as you prepare to open up a surf shop.
Use JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world.
Use ETL, Amazon Web Services, and Spark to analyze big data on an Amazon dataset.
Plot the relationship between latitude and weather for cities around the world using Python, Pandas, and APIs.
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.