This repository contains code, dataset and all other required files for a machine learning project that predicts the price of a laptop based on its specifications. The user can input details about the laptop such as the brand, processor, RAM, storage, and screen size, and the program will estimate the cost of the laptop.
- Follow this link: https://ajinkode-laptop-price-predictor-app-49ikqt.streamlit.app/
- Input your desired specifications for the laptop like HDD, SSD, RAM, Screen Size, etc.
- Click the "Predict Price" Button at the bottom. Voila! The model has estimated a price for the laptop with giiven specifications.
The dataset required for this project in .csv format.
The Jupyter Notebook in which the model was trained using a regression model in .ipynb file format.
The pickle files which contain the dataframe and trained model.
The python script containing the code for streamlit app.
The requirements and dependencies needed for this project.
If you would like to contribute to this project, you can fork the repository and submit a pull request with your changes. Please make sure to test your changes thoroughly before submitting the pull request.
I would like to take a moment to express my gratitude for visiting my repository on GitHub. Your interest in my work means a lot to me and encourages me to continue contributing to the community. If you have any questions or feedback, please do not hesitate to contact me here: ajinkode@gmail.com