https://github.com/azaz9026/car_price_prediction_model

This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
https://github.com/azaz9026/car_price_prediction_model

data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering

Last synced: about 17 hours ago
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This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

• Host: GitHub
• URL: https://github.com/azaz9026/car_price_prediction_model
• Owner: azaz9026
• Created: 2024-08-04T05:27:40.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-07T18:01:32.000Z (3 months ago)
• Last Synced: 2024-11-18T04:45:23.315Z (about 17 hours ago)
• Topics: data-analysis, data-engineering, liner-regestion, machine-learning, modeling, numpy, pandas, python3, rendering
• Language: Jupyter Notebook
• Homepage: https://car-price-prediction-model-ani3.onrender.com
• Size: 233 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Car Price Prediction Model

 

Car Price Prediction Model

***Overview***

This repository contains a machine learning model designed to predict car prices based on various features. Leveraging historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

***Features***

Predictive Modeling: Provides price estimates for used cars based on historical data.

Data-Driven Insights: Utilizes various car attributes to improve prediction accuracy.

Customizable: Easily adaptable to include additional features or data sources.

***Installation***

****Clone the Repository:****

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git clone https://github.com/azaz9026/Car_Price_Prediction-_Model/

cd car-price-prediction

Set Up the Environment:

Create a virtual environment and install the necessary dependencies.

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python -m venv venv

source venv/bin/activate  # On Windows use `venv\Scripts\activate`

pip install -r requirements.txt

Usage

Prepare Data:

Ensure your dataset is in the correct format. Refer to data/README.md for detailed instructions on data preparation.

***Train the Model:***

Run the following script to train the model with your dataset:

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python train_model.py

Make Predictions:

Use the trained model to make predictions:

***Fork the repository.***

Create a new branch for your feature or fix.

Make your changes and test thoroughly.

Submit a pull request describing your changes.

***License***

This project is licensed under the MIT License.