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This project uses machine learning to predict the prices of used phones based on various features like brand, operating system, and new price. The model is built using Python and Flask, and deployed as a web app on Azure.

jayantverma2809/Used-Phone-Price-Prediction-Project

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Used-Phone-Price-Prediction-Project https://usedphonepriceprediction.azurewebsites.net/

This repository contains a machine learning model that predicts the prices of used phones. The model is built using Python and Flask and is deployed as a web app on Azure.

Project Description

The purpose of this project is to predict prices of the used phones using various features of a mobile phone such as brand, operating system, new price, etc.

Dataset Used

Used Devices Dataset from Kaggle (https://www.kaggle.com/datasets/ahsan81/used-handheld-device-data)

Methods Used

  • Data Wrangling
  • Exploratory Data Analysis
  • Data Visualization
  • Feature Engineering
  • Machine Learning
  • Predictive Modeling
  • Model Deployment

Technologies

  • Python
  • Flask
  • jupyter
  • HTML, css

About

This project uses machine learning to predict the prices of used phones based on various features like brand, operating system, and new price. The model is built using Python and Flask, and deployed as a web app on Azure.

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