mocchicone Goto Github PK
Name: Michael Occhicone
Type: User
Company: [email protected]
Bio: Data Science | Python, SPSS, SQL
Location: San Diego, CA
Blog: https://www.linkedin.com/in/michael-occhicone-m-a-6733ab17/
Name: Michael Occhicone
Type: User
Company: [email protected]
Bio: Data Science | Python, SPSS, SQL
Location: San Diego, CA
Blog: https://www.linkedin.com/in/michael-occhicone-m-a-6733ab17/
Tableau data analysis and visualization project using a CitiBike New York City 2020 dataset.
SQLAlchemy
Analyzed Covid-19 data from Washington State to understand the relationship between income, poverty, political affiliation, and age with three Covid-19 outcomes: cases, hospitalizations, deaths. Extracted data from the CDC, Census, and usa.com to assemble a dataset of over 50,000 cases. Linear regression, Chi-Square, outlier analysis, and visualizations conducted using Python, Pandas, Plotly, and Matplotlib
Project 2
ELT project using Game of Thrones data
Created supervised machine learning models capable of classifying candidate exoplanets from the raw dataset. Conducted feature selection and data scaling. Two classification models, Support Vector and Neural Network, were trained, hypertuned, and tested.
Use Python, MongoDB, Flask, and HTML to scrape NASA website and present in real-time on a new HTML webpagepage
Using Plotly, JavaScript, d3, and Bootstrap, created an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species (also called operational taxonomic units, or OTUs, in the study) were present in more than 70% of people, while the rest were relatively rare.
VBA Stock Market Analysis
Machine learning project using Strava data. Our goal was to create data visualizations, analytics, and predictive modeling that could help athletes improve their training plan. Fitness data was collected and analyzed from two participants. A database was created using SQLite. Data visualizations and analysis were created using Tableau. Finally, classification and regression machine learning was conducted in Python and Scikit-learn library.
Using 2016 MLB data, using Subset Selection approach to identify a subset of p predictors that are related to the salary variable..
Create a dynamic site using JavaScript, D3.js, HTML, and CSS.
Weather Analysis Using Python and GoogleMaps API. Created a dataset of 500+ random cities using OpenWeatherMap API to analyze weather patterns as a function of equatorial distance. Filtered cities based on weather variables and used GoogleMaps API to find ideal vacation spots. Data Analysis, linear regression and visualizations conducted using Python, Pandas, Citipy, Plotly, Gmaps, and Matplotlib.
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.