https://github.com/vishal-038/car_price_prediction

This project aims to predict the prices of cars based on various features.
https://github.com/vishal-038/car_price_prediction

data-science machine-learning

Last synced: about 1 month ago
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This project aims to predict the prices of cars based on various features.

• Host: GitHub
• URL: https://github.com/vishal-038/car_price_prediction
• Owner: VISHAL-038
• Created: 2024-05-27T17:10:32.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-29T20:09:15.000Z (7 months ago)
• Last Synced: 2024-05-30T14:16:25.787Z (7 months ago)
• Topics: data-science, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 726 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Car Price Prediction

## Overview

This project aims to predict the prices of cars based on various features.

## Table of Contents

- [Overview](#overview)

- [Dataset](#dataset)

- [Data Preprocessing](#data-preprocessing)

- [Modeling](#modeling)

## Dataset

The dataset used in this project contains various features of cars such as:

- `name`: The name of the car.

- `company`: The manufacturer of the car.

- `year`: The year the car was manufactured.

- `Price`: The price of the car.

- `kms_driven`: The mileage of the car.

- `fuel_type`: The type of fuel used by the car.

## Data Preprocessing

Data preprocessing steps included:

- Handling missing values.

- Converting categorical variables to numeric using techniques such as one-hot encoding.

- Normalizing or standardizing the data.

- Removing outliers.

## Modeling

Machine learning models were developed and evaluated, including:

 - Linear Regression

## Evaluation

Models were evaluated based on metrics such as:

- R-squared (R²)