Car Price Prediction is a really an interesting machine learning problem as there are many factors that influence the price of a car in the second-hand market. In this competition, we will be looking at a dataset based on sale/purchase of cars where our end goal will be to predict the price of the car given its features to maximize the profit.

Datasets Link – Kaggle Data 

Technologies Used : –

1. Python 3.7
2. Pandas
3. Numpy
4. Flask

Running the web app

Locally

• Install requirements
  pip install -r requirements.txt
• Run flask web app
  python app.py