Team Members: Kelvin Deng, Thao Hoang, Yijing Su, May Ang
To analyze the depreciation value of cars over the years by analyzing the sale prices on resale posts. This analysis will also include analysis on various factors like location, pricing history, and posting date. The objective is to create a recommendation system to provide users with a reasonable price point for their used car.
- Data from a Web Scrapper [https://www.kaggle.com/austinreese/craigslist-carstrucks-data, csv format] – Craiglist was scrapped every few months to collect information from sale postings of used cars
- Python
- Javascript
- HTML/CSS (Bootstrap)
- PowerBI for visualizations
- Logistic Regression - for identifying trends
- Random Forest - for recommendation system
- K-Means / KNN - for data clustering / categorization
A flask app will be created and deployed using Heroku