Car Price Prediction :

This a simple car price prediction model that I build for demonstration purpuose to the GDSC members.

I found the dataset on Kaggle, I took a lot of techniques from kaggle notebooks to build the model and deployed the model using flask.

For the front-end I have used HTML and CSS

This is how it looks and works

Document Structure

---- results 
|       |---- car_price_prediction.gif
|       |
|       |---- webapp.png
|
|---- static
|       |---- images
|       |       |---
|       |
|       |---- styles
|       |       |
|       |       |---- index.css
|       
|---- templates
|       |---- index.html
|       |
|
|---- app.py
|
|---- car_price_prediction.ipynb
|
|---- model.pkl
|
|---- README.md
|
|----requirements.txt
    

Technologies used :

• python library - numpy, pandas, seaborn, matplotlib, sklearn
• version control - git
• backend - flask

Tools used :

• IDE - Vs code

To build this project I have reffered to the following videos on YouTube :

• Siddhardhan
• Krish Naik

If you Liked this project the you can consider connecting with me:

• LinkedIn

• You can find my other projects and EDAs on Kaggle