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"Laptop Price Prediction" is a project containing codes and datasets for a machine learning model that estimates the price of a laptop based on its specifications.

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Laptop Price Predictor Repository

Streamlit App

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.

Here's how the project works:

  1. Follow this link: https://ajinkode-laptop-price-predictor-app-49ikqt.streamlit.app/
  2. Input your desired specifications for the laptop like HDD, SSD, RAM, Screen Size, etc.
  3. Click the "Predict Price" Button at the bottom. Voila! The model has estimated a price for the laptop with giiven specifications.

Contents of the Repository

1. Dataset

The dataset required for this project in .csv format.

2. Jupyter Notebook

The Jupyter Notebook in which the model was trained using a regression model in .ipynb file format.

3. Pickle Files

The pickle files which contain the dataframe and trained model.

4. Python Script File

The python script containing the code for streamlit app.

5. Requirements File

The requirements and dependencies needed for this project.

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"Laptop Price Prediction" is a project containing codes and datasets for a machine learning model that estimates the price of a laptop based on its specifications.

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