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๐Ÿš˜ Car-Choice ๐Ÿš” is a used car price prediction web app.

Home Page: https://usedcar-pred.herokuapp.com/

License: MIT License

Jupyter Notebook 99.83% Python 0.05% HTML 0.06% CSS 0.06%
flask randomforestregressor price-prediction kaggle-dataset

carchoice's Introduction

๐Ÿ“Œ About

Car-Choice is a old car price prediction web app. This web app takes inputs like distance traveled, age, current market price from the user and then predict the estimated selling price.

Input Features

  • Name
  • Current Market Price
  • Distance Travelled
  • Age
  • Number of last owners
  • Type of fuel
  • Transmission type
  • Seller type (Dealer/Owner)

The model used is tree based regression model RandomForestRegressor.

๐Ÿ“Œ Setup

  • Clone the carChoice repository

      git clone https://github.com/ashishsahu1/carChoice.git
    
  • Create new environment

      conda create -n env_name python=3.6
    
  • Install packages from requirement.txt

      conda install --file requirements.txt
    
  • run app

      python app.py
    


๐Ÿ“Œ Deployed webapp

  • Deployed Server : Heroku
  • Web-app : LIVE

๐Ÿ“Œ ScreenClips

๐Ÿ’™ THANK YOU ๐Ÿ’™

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