A blogging full-stack web application project made with Spring Boot for Codeup students to use as a reference during the Capstone process.

GitHub Scraping group project using Natural Language Processing through the full Data Science Pipeline. We explored the data using insights discovered to feature engineer our dataset allowing us to find the best model accuracy for production. Our final deliverable was a Canva presentation and a working model demonstrated on a single Readme file.

Acquire, prepare, explore, model and evaluate Telco data concentrating on a target of customer churn.

Exploratory group project focused on Anomaly Detection across the Codeup access logfiles for their curriculum servers. Primary deliverables were a supervisory level e-mail response and an executive level informational brief using a slide presentation.

Team Project: Justin Evans & Yvette Ibarra; Collect, clean and analyze Zillow data from 2017, use clustering to improve the Zestimate model that was designed to predict the Home Sale Value for Single Family Properties based on available real-estate data.

Targeted the 2017 tax assessed home value of single family properties using 5 different regression models in an attempt to provide better prediction accuracy.

Codeup 파이썬 기본 100제 실습 코드