paulbenschmidt Goto Github PK
Name: Paul Schmidt
Type: User
Company: Home Chef
Bio: Developer
Location: Chicago
Name: Paul Schmidt
Type: User
Company: Home Chef
Bio: Developer
Location: Chicago
These are the Jupyter notebooks for the Big Data specialization in the Data Science Program.
A Github Pages static website used to gather survey responses for people interested a particular goal over the next few months.
For this project, an analysis of American president classification will be conducted based on their inaugural addresses. This will be done with NLP using the tools of clustering, Bag-of-Words, and TF-IDF vectors. In order to avoid having too many classification categories and have similarly-sized amounts of data for each president, we have limited the text sources to the inaugural addresses of the 15 American presidents who were elected for more than one term and gave a second inaugural address.
Public resources related to Thinkful's data science bootcamp
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Auto-generated data documentation site for dbt projects
HC Review training for dbt
Data science portfolio examples.
FinQuisitive Streamlit application
Using data from GDP analysis and life expectancy growth, this report focuses on their effects on a country's happiness.
An exploratory analysis of the following: https://www.kaggle.com/ronitf/heart-disease-uci
A project built for a local window washing company in Chicago to identify potential subscription clients.
Using a dataset of house specifications and pricing in Ames, Iowa, this data science project was designed to empower both the buyer and seller to statistically predict the value of a home based on its specifications. This project illustrates data cleaning, feature engineering, feature selection, model tuning, and model selection.
A simple walkthrough of the Python basics (intended for live presentation)
An exploratory analysis of wind and wave conditions of Lake Michigan in preparation to paddleboard across the lake.
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.