The Car Price Prediction Model uses machine learning to predict the selling price of a car based on features like model, year, kilometers driven, fuel type, seller type, transmission, and more. Built using Python's scikit-learn and a Linear Regression model, it provides accurate predictions based on historical car data.

Used Car selling price prediction based on Machine Learning

Car Price Prediction using Linear Regression and OneHotEncoding for categorical features to estimate selling price based on multiple car attributes.

Car selling price prediction using Linear Regression from Scratch

Car Price Prediction by Extracting Real Data from the car buying and selling site and Displaying Performance for People with Telegram Bot

This project is about prediction selling price of used car using machine learning model and flask web application

Machine Learning Project for Selling price prediction of Car

The Car Price Prediction project uses machine learning techniques to predict the selling price of used cars based on various features such as make, model, year, mileage, condition, and more

ML model for car selling price prediction using CarDekho.com guideded by Krish Naik

Car Price Prediction using Machine Learning End-to-end ML project that predicts car selling prices using structured data. Includes data preprocessing, feature engineering, RandomForest regression, model evaluation, and CLI-based training and inference scripts with a clean, production-ready project structure.

This is our major project , we have developed a used car price prediction model based on car datasets extracted from kaggle website. Here We have trained our model using random forest algorithm for prediction of selling price of car which is dependent on number of features like : no. of users, km driven, manual or automatic, fuel type , etc

Objective: To help company to buy and sell car with Good Condition Introduction This dataset contains information about used cars listed on www.cardekho.com This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning. Used Statistical techniques such as Hypothesis testing , ANOVA, Post hock test etc.

car selling price prediction

Car selling price prediction

Prediction of car selling price

Car Selling Price Prediction using machine learning pipelines

second hand car selling price prediction system with Machine learning and tkinter GUI

Project on Used Car Price Prediction to make informed decision while buying or selling a vehicle.

Car Price Prediction is a machine learning project that estimates a car's price based on features like brand, model, year, mileage, fuel type, fiscal power, and car type. It helps users get accurate price predictions for better buying or selling decisions.

Car-Price-Prediction is an Web app where we can predict the price of car whether we want to sell or buy a car.

This is project of Car selling price prediction using machine learning and its deployment over web using flask.

The Car Price Prediction project aims to predict the selling price of used cars based on various features such as the car's present price, kilometers driven, age, fuel type, transmission type, and more.

Welcome to our Car Selling Price Prediction App, a powerful tool designed to help you estimate the selling price of your vehicle accurately. Using advanced algorithms and real-time data analysis, this app simplifies the process of pricing your car for the market.

"Car Price Prediction" web app uses machine learning to estimate car prices based on features. It empowers users to make informed decisions when buying or selling cars. Built with Python, Flask, and ML libraries, it ensures accurate and efficient predictions. Try this powerful tool now! #CarPricePrediction #ML #WebApp #Python

This project is a Machine Learning based Car Price Prediction App that uses Linear Regression to predict the selling price of a car based on features like the year of manufacture and kilometers driven.

Worked on a price prediction project dealing with selling price of cars on cars24 website. Built various regression algorithms such as Linear Regression , Decision Tree , Random Forest, XGBoost and SVR. Developed an application using streamlit which predicted whether the selling price of a selected car is matched with actual price or not.

The particular repository contains flask web application in Heroku for the prediction of the selling price of used / fresh cars, used a dataset from an existing car-dealer/seller website.

🚗 Car Price Prediction using Machine Learning This project predicts the selling price of a car based on features such as brand, year, fuel type, and kilometers driven. Built with Python, Pandas, Scikit-learn, and Streamlit.

Car Price Prediction project uses Machine Learning to estimate a car’s selling price based on factors like year, mileage, fuel type, and owner type. Built using Python, Pandas, Seaborn, and Linear Regression, it helps understand how different features impact car resale value.

"Car Price Prediction" is a web app utilizing Python, Pandas, NumPy, and scikit-learn for predicting the selling price of old vehicles. The frontend employs HTML/CSS, while Flask integrates the components. Users input vehicle details to receive a machine-learning-based price prediction.