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Name: Flora Matos
Type: User
Bio: Data Scientist | Quantitative Researcher
Location: San Francisco, CA
Name: Flora Matos
Type: User
Bio: Data Scientist | Quantitative Researcher
Location: San Francisco, CA
An exploratory analysis of Amazon toy review ratings and Vine membership status
The main goal of the present project was to create a HTML page for users to explore a dataset.
Getting insights from bike-sharing data via Tableau.
an analysis of the scores in the Brazilian college entrance exam, ENEM, for the 2019 and 2020
Training and evaluating supervised machine learning models for the prediction of credit card risk.
Using unsupervised ML techniques to group cryptocurrencies into meaningful clusters.
Code from live exploratory analyses of data in R
Public repository for DSS plugins
A python script for analysis of election data
Fellowship Challenges - Debug problem
Analysis on Kickstarter data
Facilitating the visualization of earthquake data by using Leaflet.js to populate a geographical map with GeoJSON earthquake data.
A linear regression model was conducted in R to predict the performance of vehicle prototypes.
Data related to the Mission to Mars was retrieved using a Flask web application, stored in a MongoDB database and visualized in a HTML page.
An ETL pipeline was created to extract, transform and load data about movies from three sources(wikipedia, kaggle, MovieLens) to a PostgreSQL movie database.
Predicting whether applicants to a charity fund will be successful if funded.
Predicting and Managing Employee Turnover through Data Analysis
Feature Engineering for House Prices Prediction
Improving ride share services through data-based decision-making
An Analysis of School District Data using Python, Pandas, Anaconda and Jupyter Notebook
An Excel/VBA analysis of Wall Street Data
An analysis of weather data with the goal of facilitating business decision-making.
Data related to UFOs sightings was organized into a HTML page that can facilitate data analysis by taking users' input and returning filtered data.
Descriptive and Machine Learning Analyses of twitter usersβ sentiments about the war in Ukraine.
Using Weather Data in Vacation Decision-Making
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.