Car-Price-Prediction and Car-price-prediction-using-Linear-regression-Machine-Learning-Project
About Car-Price-Prediction
iyashk/Car-Price-Prediction
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.
This project helps individuals assess the fair market value of a used car before buying or selling. You input details like the car's company, model, year, transmission, distance driven, fuel type, seller, and previous owner history. It then outputs a predicted price for the car. This is useful for anyone looking to make an informed decision when trading used vehicles.
About Car-price-prediction-using-Linear-regression-Machine-Learning-Project
roshancyriacmathew/Car-price-prediction-using-Linear-regression-Machine-Learning-Project
This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning. The dataset used for this project is taken from Kaggle. For the complete video explanation, check out the following link.
Need to estimate the value of used cars? This project helps you predict used car prices by training a model on historical car data. You provide a dataset of past car sales with features like make, model, year, and mileage, and it outputs a model that can estimate prices for other used cars. This is ideal for used car dealers, individual sellers, or anyone needing to value a used vehicle.
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