Category: ML

How can we identify potentially fraudulent or mispriced vehicles in online marketplaces? The first step was building a pricing model capable of estimating a vehicle’s market value based on its characteristics. Features such as the manufacturing year, mileage, color, body condition, and other listing attributes were used to predict each vehicle’s expected price. Rather than…

One of the most challenging parts of the project was not building the models—it was building the dataset. Like many real-world machine learning projects, the majority of the work happened before any model training began. Collecting and cleaning reliable data proved to be far more difficult than expected.To build the dataset, we designed a web…

Have you ever wondered how second-hand car prices are estimated?Two years ago, while searching for my first car, I spent months browsing online marketplaces and visiting dealerships. At some point, I realized I could estimate the price of most vehicles with surprising accuracy. Yet, if someone asked me how I arrived at those numbers, I…