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Car price prediction

 
This project was made to learn about the complete life cycle of a data science project. Specially:

  • EDA
  • Feature engineering & Feature selection
  • Model building & tuning hyperparameters
  • Deployment

Check out the deployed app here.

Getting started

Prerequisites

All the dependancies are listed in requirements.

Installation

To install, first create a virtual environment and activate it.

//windows
python3 -m venv env_name
source env_name/bin/activate

If you have anaconda installed, create an environment using that.

conda create --name env_name python=[python version]  // 3.6 and over

"env_name" should contain the name of the environment. Then install all the packadges from the requirements.

pip install -r requirements.txt

Running the app

Run this command on cmd

python app.py

It will run it on a local server. You can access it from any browser.

Deployment

The app is deployed using heroku.

Acknowledgements

Followed the end to end implementation tutorial by Krish Naik.