https://github.com/diwansinghchauhan/laptop-price-predictor-using-linear-regression

https://github.com/diwansinghchauhan/laptop-price-predictor-using-linear-regression

Last synced: 17 days ago
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• Host: GitHub
• URL: https://github.com/diwansinghchauhan/laptop-price-predictor-using-linear-regression
• Owner: diwansinghchauhan
• Created: 2024-04-26T22:31:29.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-28T17:54:36.000Z (9 months ago)
• Last Synced: 2024-11-11T08:17:40.160Z (3 months ago)
• Language: Jupyter Notebook
• Size: 486 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Laptop Price Predictor

This project utilizes linear regression to predict the price of laptops based on various features such as Brand, RAM size, SSD, HDD, GPU, Operating System, CPU and more. The model is deployed as a web application using Streamlit and hosted on the Streamlit Community Cloud.

## Screenshots

![Streamlit - Google Chrome 27-04-2024 14_26_55](https://github.com/diwansinghchauhan/Laptop-Price-Predictor-Using-Linear-Regression/assets/147912878/fd7c2197-79a0-4527-975e-b5be9f328a34)

![Streamlit - Google Chrome 27-04-2024 14_27_08](https://github.com/diwansinghchauhan/Laptop-Price-Predictor-Using-Linear-Regression/assets/147912878/653b2a6d-0bb4-4647-8145-2fa03a675d7b)

![laptop-price-predictor – app py 27-04-2024 14_27_37](https://github.com/diwansinghchauhan/Laptop-Price-Predictor-Using-Linear-Regression/assets/147912878/93b1a82a-f31f-4038-965f-08833fd96153)

## Features

- The core of the application is a linear regression model trained on a dataset of laptop specifications and prices.

- Streamlit is used to create a user-friendly web interface where users can input the features of a laptop and view the predicted price.

- With Streamlit, deploying the app to the Streamlit Community Cloud is a breeze, allowing easy access for users to utilize the predictor without any local installations required.

- Users can explore different combinations of laptop specifications to see how they affect the predicted price, offering valuable insights for both consumers and retailers.

## Requirements

- Python

- streamlit

- Scikit-learn

## Getting Started

- Visit the deployed app on the Streamlit Community Cloud.

- Input the specifications of the laptop you want to predict the price for.

- Click on the "Predict Price" button to see the estimated price.

- Explore different combinations of features to understand their impact on the predicted price.

- Enjoy predicting laptop prices with ease.

## Acknowledgements

Special thanks to Streamlit for providing an amazing platform for building interactive web applications with ease.

## Deployment

To deploy this project run

```bash

https://laptoppricepredictor-diwansingh.streamlit.app/

```

## Authors

- [Diwan Singh Chauhan](https://github.com/diwansinghchauhan/Laptop-Price-Predictor-Using-Linear-Regression)

## Reference

Campusx Youtube