Verkkothe surging popularity of used cars, driven by the increasing preference for car ownership, has created a demand for efficient pricing models. Verkkotherefore, evaluating and predicting the price of used cars can help standardize the industry standards of used car trading platforms, solve the. The model aims at reducing car price fraud. Verkkoused car pricing today is often varied, based off a relatively small feature set, and is some variant of linear regression. Here, we try various deep learning architectures. Verkkoin this paper, we use supervised learning method, namely, random forest to predict the prices of used cars. The model has been chosen after careful exploratory data. Verkkoin this section, it will be discussed about how data cleaning and wrangling methods are applied on the craigslist used cars data file. Verkkothis repository offers a complete project on predicting used car prices using machine learning. It features data cleaning, model selection, training, and evaluation in a. Verkkowith this project, we have built a model that can predict with a 87,03% of accuracy the price of used cars, given a set of features.
