Predicting Mobile Prices

About

A Linear Algebra course project covering the full path from raw data to a working prediction tool.

Pipeline

• Data extraction — scraped mobile phone listings from an e-commerce site.
• Data cleaning — handled missing values and normalised features so they could be used for training.
• Model — trained a linear regression model to predict a phone's price from its features.
• App — wrapped the model in a Tkinter desktop app where you enter a phone's specs and get a predicted price.