A Python Scraping Program that collecting the craigslist used car information to save or money for users

懂车帝 二手车信息数据集 1W条

Web scraping a few pages of Cars.com every day, keeping track of price trends.

Data science project with an end-to-end machine learning pipeline for used car price prediction using real-world data. Includes data preprocessing, feature engineering, model training (Decision Tree, Random Forest, XGBoost), EDA visualizations, and a Flask web app for real-time price prediction.

A used car online selling company in the USA is in the process of updating their car price assessment method where they want to apply a data driven technique. The trial dataset consists of 25 variables describing 23531 car sales from 2019 to 2020. The management is very keen to apply predictive modelling for this task where the trail data set is…

bs4 based scraper for Autoscout24 with Machine Learning pricing model

This is a project that specializes in comparing used car prices in one very same model but between two different regions (China & Korea). It totally consists of 3 parts i.e. crawling, data cleaning, and data mining. After calculating the regression models for both countries in one very similar trim, it concluded that the null hypothesis cannot b…

It is a buy used cars app with different filters (Make, model, price)

Data cleaning and exploratory analysis of used car listings from eBay Kleinanzeigen to identify brand trends, pricing patterns, and mileage behavior.

Amateur coded used car website just for practicing purposes only.