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This repository offers a complete project on predicting used car prices using machine learning. It features data cleaning, model selection, training, and evaluation in a Jupyter Notebook, along with a Streamlit app for interactive predictions.
11 Αυγ 2020 · A Machine Learning Project that uses Random Forest Regressor model to predict used cars price based on some attributes such as kilometers driven, age, number of previous owners etc.
Used 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 that incorporate more features in order to better predict used car prices than other models in existing literature today. Specifically, we compare performance between
25 Ιουλ 2021 · In this article, we tried predicting the car price using the various parameters that were provided in the data about the car. We build machine learning and deep learning models to predict car prices and saw that machine learning-based models performed well at this data than deep learning-based models. 10.
13 Ιουλ 2021 · This research aims to develop a good regression model to offer accurate prediction of car price. In order to do this, we need some previous data of used cars for which we use price and some...
25 Ιουλ 2023 · As a Data Scientist, you are given the task of creating an automated system that predicts the selling price of cars based on various features (information) such as the car’s model...
14 Οκτ 2020 · With 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. This information can have an enormous value for both companies and individuals when trying to understand how to estimate the value of a vehicle and, more importantly, the key factors that determine its pricing.
