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Car Price Prediction

Technologies Used

Made with Python 3.7

Table of Contents

About

This project is a Car Price Prediction model built using machine learning techniques. It helps predict the price of cars based on various features and data collected. The project utilizes a Decision Tree Regressor for prediction.

Features

  • Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Machine Learning Model Development
  • Model Evaluation
  • Predicting Car Prices

Installation

To run this project locally, follow these steps:

  1. Clone this repository.
    git clone https://github.com/Pranav0009/CarPricePredictionModel.git
    

Requirements

Describe the installation process, if any, including any dependencies.

pip install -r requirements.txt

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