Project Overview:
Project 1: Review, Git Analysis, Benchmarking practiced basic python functions, looked at code efficiency, and used GIT. project link: https://github.com/cs320-wisc/f22/tree/main/p1#readme
Project 2: Loan Analysis involved practicing with classes, handling large datasets, building and utilizing trees, implementing testing, and writing modules project link: https://github.com/cs320-wisc/f22/tree/main/p2#readme
Project 3 (scrape.py): Find the Path! practiced: inheritance, graph search, and web scraping project link: https://github.com/cs320-wisc/f22/tree/main/p3#readme
Project 4: Building a Data Website overview: built a website for sharing a dataset, using the flask framework for the site. Had the following features: (1) multiple plots on the home page, (2) a page for browsing through the table behind the plots, (3) a link to a donation page that is optimized via A/B testing, and (4) a subscribe button that only accepts valid email addresses. project link: https://github.com/cs320-wisc/f22/tree/main/p4#readme
P5: EDGAR Web Logs overview: develop tools to extract information from the filings stored in EDGAR (edgar_utils.py) and used those tools to analyze user behavior (p5.ipynb). project link: https://github.com/cs320-wisc/f22/tree/main/p5#readme
Project 6: Regression Models overview: extracting data to make predictions about census data for Wisconsin using regression models. project link: https://github.com/cs320-wisc/f22/tree/main/p6#readme
Project 7 (main.py): Selling Laptops: Smart Marketing (Create ny own Regression Model!) overview: using given data to construct different regression models to get the best idea of customers interested in promotion emails. project link: https://github.com/cs320-wisc/f22/tree/main/p7#readme