Car-Price-Prediction

Table of Contents

• About the project
• About the dataset
• Tech Stack used
• Install and Run

About the Project

It predicts the selling price of a car given various parameters like year, selling_price, km_driven, fuel, seller_type, transmission, Owner

About the dataset:

Vehicle dataset [https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho]

This dataset contains information about used cars listed on www.cardekho.com This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning. The columns in the given dataset are as follows:

name, year, selling_price, km_driven, fuel, seller_type, transmission, Owner

Prediction

Tech Stack used

Project is created with : HTML, CSS, Flask, Python, Machine Learning.

Install and Run

1. Clone the repo

$ git clone https://github.com/TanmayThaker/Car-Price-Prediction
$ cd Car-Price-Prediction

2. Initialize and activate a virtualenv:

$ virtualenv --no-site-packages env
$ source env/bin/activate

3. Install the dependencies:

$ pip install -r requirements.txt

5. Run the development server:

$ python app.py

6. Navigate to http://localhost:8000