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To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the Price of Used Cars using various features.

Home Page: https://ucppredict.herokuapp.com/

Python 0.14% HTML 0.33% Jupyter Notebook 99.54%
machine-learning car-price-prediction flask

predicting-the-price-of-used-cars's Introduction

Predicting the Price of Used Cars

Python Notebook Framework Frontend Cloud

Overview

To be able to predict used cars market value can help both buyers and sellers. There are lots of individuals who are interested in the used car market at some points in their life because they wanted to sell their car or buy a used car. In this process, it’s a big corner to pay too much or sell less then it’s market value.

In this Project, we are going to predict the Price of Used Cars using various features like Present_Price, Selling_Price, Kms_Driven, Fuel_Type, Year etc. The data used in this project was downloaded from Kaggle.

WebApp

  • If you want to view the deployed model, click on the following link: https://ucppredict.herokuapp.com/

  • If you are searching for Code, Algorithms used and Accuracy of the model Please Open "Used Car Price Prediction.ipynb" file

  • And Please do ⭐ the repository, if it helped you in anyway.

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