https://github.com/abderrahmane-stack/care_price_prediction
"A machine learning project predicting car prices based on various features like make, model, year, engine specs, and more. Utilizes linear regression and data preprocessing to provide accurate price predictions.
https://github.com/abderrahmane-stack/care_price_prediction
machine-learning
Last synced: 11 months ago
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"A machine learning project predicting car prices based on various features like make, model, year, engine specs, and more. Utilizes linear regression and data preprocessing to provide accurate price predictions.
- Host: GitHub
- URL: https://github.com/abderrahmane-stack/care_price_prediction
- Owner: abderrahmane-stack
- Created: 2024-10-28T22:11:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-29T14:40:48.000Z (over 1 year ago)
- Last Synced: 2025-03-15T13:44:59.454Z (over 1 year ago)
- Topics: machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 566 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Care Price Prediction
This project is focused on predicting car prices using machine learning techniques. It leverages linear regression and data preprocessing techniques to provide accurate predictions based on several vehicle attributes.
## Table of Contents
Project Overview
Features
## Project Overview
The goal of this project is to develop a predictive model for car prices based on historical vehicle data. By analyzing features such as make, model, year, engine specifications, and more, the model aims to provide an estimated price for different cars.
## Features
Data Preprocessing: Handles missing values, encodes categorical features, and scales numerical data.
Feature Engineering: Selection and transformation of relevant features to improve model accuracy.
Machine Learning Model: Uses linear regression to predict car prices.
Evaluation Metrics: Measures the performance of the model using Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared values.