🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.

An ML application which predicts the price of used cars

This repo contains all the source code and obtained data for the used cars prices

An end to end machine learning model for predicting the price of used cars.

Datahack 1.0

Data manipulation of the Cars data set found on Kaggle.

We have developed a regression model aiming to predict the prices of used cars in India using the attributes from the dataset.

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

An end-to-end data science project, experimenting with various regression algorithms to predict the price of a car given its features.

Create a machine learning model to predict the price of a used car in Saudi Arabia. The model include data analysis & machine learning (supervised Regression, feature selection, hyperparameter tuning, etc.). The best model produced is XGBoost which achieved a MAPE of 19%.

This repository contains our solutions to problem statement given in the major project phase

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

Machine Learning Model using Random Forest Regression to Predict Used Car Price

Prediction of car price using machine learning model XGBoost.

Compare used car prices with Canadian Black Book directly in Chrome

The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine

Using linear regression we are predicting car prices.