A real driver's license identification generator.
A collection of Jupyter Notebooks exploring public Cannabis data from the state of Washington.
Car Accident Severity Analysis - Seattle Washington (Machine Learning Application)
WA Vets Will Clinic is to provide free estate planning documents to eligible veterans of the U.S. Armed Forces.
A web application built with Flask that uses machine learning to analyze crime history in Washington D.C. and makes predictions.
Site build for PNW Cams
A machine learning project that explores and predicts the prices of houses in Washington, USA
A wsdot travel times to mqtt bridge process
A repo with code for each post of the Wizards Points Substack
WMATA train tracking application for monitoring train arrival times at your station of choice. Built to run on the Raspberry Pi
A dynamic map of police traffic stops in Seattle, Washington; completed as a project for a Harvard class on data science in R
This project focuses on analyzing and predicting earthquakes in Washington State using data from the USGS. The analysis explores earthquake trends, spatial patterns, and the relationship between earthquakes and fault lines. ML models are employed for predicting future earthquake occurrences, magnitudes, and their potential impacts.
Solution of Machine Learning course by University of Washington on Coursera
Analysis using Python on Seattle housing prices. Includes geomapping, descriptive, and predictive analytics. Written in Python, uses Pandas and other libraries for dataframe creation/manipulation.
🇺🇸️🏴🏙️🏔️🏠️ A repository about my former home city. @seanpm2001
Implement computer vision on scraped images of wildfire smoke in Seattle. Can we infer air quality without all that fancy equipment?
Website for CapCity Presents in Olympia, Washington
Just a COVID-19 data parser written in Python which shows the deaths and cases on a line graph. I mostly wrote this to get a bit of practice with the language, nothing too fancy.
BikeShareAnalyzer is a Python tool for analyzing bike share data. Get insights on popular times, stations, trip durations, and user information. Analyze data for cities like Chicago, New York, and Washington. Make informed decisions with valuable insights.
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