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