Predict the price of a used car in the Greater Cleveland area.

This project is one of the task given by one of the reputed company. Here I have used the data from Kaggle dataset. In this, I have tried to predict the price of used car

Frontend for one of my college group projects. It's a web application for advertising and selling used cars.

Machine learning model in Python that predict car prices and classifies the relationship between the efficiency of different engine models and other car characteristics

🚗💨 Make used-car searching easier by adding a "miles per year" field to listings

This project provides the best possible price of a used car by taking attributes such as Manufactured Year, Number of Cylinders, Condition, and many more as inputs. Out of all models tested, the Random Forest model predicted the prices closest to the prices listed on Craigslist. Developed a web app using the Flask API for the deployment of this …

'Used Cars' dataset from Kaggle exploratory data analysis (EDA)

AutoDraft and autapooperaku.cz website scraper and viewer

Python Project - Data Analysis of Used Cars from CarDekho

Used Cars NI catalogue scrapping tool

Craigslist used cars database analysis to determine correlations between price depreciation and manufacturer, model and age of used cars

A website designed for buying and selling used cars.

Data collection and warehousing for used car listings on autolist.com in the San Francisco Bay Area

Basic data analysis regarding the cars available for sale in the US at Craiglist

Analysis of the business risk on the online used cars sales

Data manipulation of the Cars data set found on Kaggle.

Python/Flask based web application showing used car information. Employs a web scraper to extract used car information from truecar and autotrader websites.

Predicting used car prices in India