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Based on existing data, the aim is to use machine learning algorithms to develop models for predicting used car prices.

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car-price-prediction machine-learning-algorithms python random-forest-regression

car-price-prediction's Introduction

Car Price Prediction

What is car price prediction?

Deciding whether a used car is worth the posted price when you see listings online can be difficult. Several factors, including mileage, make, model, year, etc. can influence the actual worth of a car. From the perspective of a seller, it is also a dilemma to price a used car appropriately. Based on existing data, the aim is to use machine learning algorithms to develop models for predicting used car prices.

Random Forest Regression

Random Forest is an ensemble technique capable of performing both regression and classification tasks with the use of multiple decision trees and a technique called Bootstrap and Aggregation, commonly known as bagging.

Results:

Accuracy : 89.33488628039447 %

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