used-cars-price-prediction

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

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

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

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

Compare used car prices with Canadian Black Book directly in Chrome

An ML application which predicts the price of used cars

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.

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.

Exploratory Data Analysis (EDA) of used car listings to uncover insights into car prices, brands, models, vehicle age, mileage, fuel type, transmission, engine, power, and seller type. The project includes data cleaning, statistical analysis, feature exploration, and data visualization to identify key factors influencing used car prices.

To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the Price of Used Cars using various features.

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

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

Prediction of car price using machine learning model XGBoost.

Using linear regression we are predicting car prices.

Predicting Indian Used Car Prices using XGBoost, Scikit-Learn Pipelines, Feature Engineering and Hyperparameter Tuning.

Used-Cars-Price-Prediction

Data manipulation of the Cars data set found on Kaggle.