stephperillo Goto Github PK
Name: Stephanie Perillo
Type: User
Bio: Data Analyst | Data Scientist with knowledge and skills to turn raw data into information and insight.
Location: San Diego, California
Name: Stephanie Perillo
Type: User
Bio: Data Analyst | Data Scientist with knowledge and skills to turn raw data into information and insight.
Location: San Diego, California
An analysis of Amazon reviews to determine if there is bias amongst the Vine review program.
Creating Tableau visualizations to analyze New York City bike-sharing data to inform decisions about a similar program in Des Moines, IA.
Using machine learning to determine which model is best at predicting credit risk amongst random oversampling, SMOTE, ClusterCentroids, SMOTEENN, Balanced Random Forest, or Easy Ensemble Classifier (AdaBoost).
Cryptocurrency analysis using unsupervised machine learning.
An audit and analysis of a congressional election using Python.
Analysis on Kickstarter data to uncover trends utilizing Microsoft Excel
Using JavaScript and the D3.js library to retrieve the coordinates and magnitudes of earthquakes from GeoJSON data. Then utilizing Leaflet library to plot the data on a Mapbox map through an API request and create interactivity for the earthquake data.
Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.
Automates a web browser to visit different websites to extract data about NASA's mission to Mars, stores the data in a NoSQL database (mongoDB), render the data in a web application created with Flask, and create an HTML page to display the findings.
ETL (Extract, Transform, Load) project analyzing movie data from three different sources.
Using neural network binary classification to predict if donations to organizations are successful.
An analysis of Pewlett Hackard employees using SQL and relational databases (via QuickDBD)
This repository holds my portfolio files.
A ride-sharing analysis using Pandas library and Matplotlib in Jupyter Notebook.
A school district analysis using Pandas and NumPy libraries in Jupyter notebook to examine math, reading, and overall passing scores for students in a district of fifteen high schools.
Stock Analysis Using VBA and Excel
An analysis using OpenWeatherMap's API and Google Maps's API to create maps and visualize a travel itinerary.
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.