Used Car Price Prediction using Machine Learning includes Data Cleaning, Data Preprocessing, 8 Different ML Models and Some Insights from Data

This project utilizes machine learning techniques to predict the price of a used car in the Indian market using the Cardheko dataset.

Car Price Prediction ML Project Using Python

An end-to-end ML solution for used-car price prediction, offering easy-to-use interface with Streamlit, scalable API with FastAPI, and ready-to-run Docker containers.

This app is a web-based tool for predicting the price of used cars. It uses a machine learning model trained on a dataset of used car listings to make predictions. Users can input information about a used car (e.g., make, model, year, mileage, etc.) and the app will display the predicted price of the car. The app is built using Flask and incorpor

Car price prediction using ml

ML project for prediction of price of used cars

ML model for car selling price prediction using CarDekho.com guideded by Krish Naik

Car Price Prediction using Machine Learning End-to-end ML project that predicts car selling prices using structured data. Includes data preprocessing, feature engineering, RandomForest regression, model evaluation, and CLI-based training and inference scripts with a clean, production-ready project structure.

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This dataset contains the data of used cars in germany. Here we are going to work on this dataset of used cars listed from Ebay and this data was scraped from Kaggle. The main objetive of this dataset is to train a linear regression model in order to predict the price of a used car.

A machine learning app for predicting used car prices based on features such as model year, mileage, transmission, and more, using an XGBoost model trained on CarDekho dataset.

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This project uses GANs and supervised machine learning to predict used car prices accurately. By generating synthetic data with GANs, the model improves performance and handles rare listings better. The process involves data preprocessing, feature selection, model training, evaluation, and deployment.

Using data set downloaded from Kaggle where observations were built from used car listings on Craigslist, this project predicts whether a used car price is less than $12,000, and then uses available features to predict this. Decision Tree Classifiers and KNN algorithms were used, and confusion matrices were constructed to evaluate model performance.

Car Price Prediction using multiple ML models

This is project of car price prediction using ML.

Using data set downloaded from Kaggle where observations were built from used car listings on Craigslist, this project predicts the logarithm of used car prices using Random Forest regression and Boosting. Key features for model accuracy are also identified.

Data scraping, analysis, and ML model for used car price prediction

Car Price Prediction using various ML Models with Interactive Flask App

This is a car price prediction ML project in which price of car is predicted using algorithm

A End2End ML Project for analysis and prediction of resale prices of used cars

Car price prediction app with ML models and interactive streamlit interface using python.

"Car Price Prediction using ML: Predict car prices based on user-selected model. Front-end: HTML, CSS, JS. Back-end: Flask. ML model: Linear Regression."

ML End to end Car price Prediction project with deployment on Local Machine using Flask app

Explore my Car Price Prediction Model repo! Predicts car prices using ML algorithms - Linear Regression, Lasso, RandomForest. Dive in, contribute, and drive accurate predictions! 🚗💰 #MachineLearning #DataScience #GitHub"

"🚗 Car Price Prediction System - Full-stack ML app for accurate used/new car price prediction. Node.js/Express + MongoDB backend, React/Vite frontend, Python/Flask ML service. Features image uploads, auth, marketplace. Deploy-ready with Cloudinary integration.