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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"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."

Car price prediction using ML. Includes EDA, preprocessing (OHE + scaling), sklearn Pipeline, Linear Regression model, and performance metrics.

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"

A car price prediction machine learning model using linear regression. Various input features like engine CC, torque, mileage etc given to predict the price of a car using ML model.

"ML-based Car Price Prediction: Forecast vehicle prices using regression models. Explore diverse features, code, datasets, and model evaluations for informed automotive decisions. #MachineLearning #DataScience"

Vehicle Price Prediction Web App: Predicts used car resale prices in INR using ML models (Linear Regression & Random Forest). Users input brand, fuel, transmission, ownership, car age, and mileage to get estimated price with interactive charts and insights.

“End-to-end Car Price Prediction using Multiple Linear Regression. Includes EDA, data cleaning, Winsorization, feature engineering, VIF analysis, PCA, regression variants, and model evaluation (R²≈0.85). Full ML workflow implemented in Python.”

🚗 Car Price Prediction using ML Predicts car prices based on factors like brand, model, year, and mileage using ML models (Linear Regression, Decision Tree, Random Forest, XGBoost). Includes data cleaning, EDA, model training, and evaluation with Python, Pandas, Matplotlib & Scikit-Learn. 🔗 Check the README for details! 🚀

Google said: The Car Price Prediction dataset contains ~8,128 used-car records with features like name, year, selling_price, km_driven, fuel, seller_type, transmission, owner, mileage, engine, max_power, seats. Cars range from 1983–2020. Useful for ML regression tasks to predict car prices based on vehicle attributes.

This repository showcases the work done during my AI/ML internship at ShadowFox, where I contributed to machine learning projects involving Boston House Price Prediction and Car Price Prediction, both using Linear Regression, and GPT-2 Text Generation and NLP Exploration

Linear regression from scratch using gradient descent to predict car prices based on mileage. Implements ML fundamentals without external libraries - includes training program, prediction tool, and visualization. Perfect introduction to machine learning concepts.

Excited to present my Car Selling Price Prediction project using ML Regression algorithms in Python! 📈 Uncover the power of machine learning to predict accurate car prices based on various features. Let's drive into the world of predictive analytics and automotive insights! 🚀

This ML project builds an end-to-end system for used-car analytics. It cleans and normalizes marketplace data, engineers pricing features, and predicts both resale value class and selling price. Multiple models are tuned with GridSearch, the best classifier and regressor are saved, and a Streamlit app provides interactive predictions.

A full-stack Django application that predicts used car prices using a Machine Learning regression model. Users enter vehicle details such as brand, model, year, mileage, fuel type, and engine size to receive instant price estimates. The system features dynamic input loading based on selected car brand and provides accurate predictions.

Theprojectinvolvedextensivedatacleaning,featureengineering,exploratorydata analysis (EDA)

The project involved extensive data cleaning,feature engineering,exploratorydata analysis (EDA), Collected and preprocessed a dataset ofused carsusing Pandas and NumPy,handling missing values, duplicates, and categorical variables.Using skewness and kurtosis,OutliersDetection by using IQR method, Trained and evaluated multiple regression models

ML Supervised-Regression : Used Car Price Prediction

Car price prediction ML project using lasso regression

Car price prediction using Linear Regression ML Model

Car price prediction using ML-Linear Regression + dataset

Car Price Prediction Using Linear Regression in ML.NET

ML-powered car price prediction model using regression analysis

Example for Regression (Car Price Prediction) using ML.NET

Repository for ML-Regression-Used-Car-Price-Prediction-XGBoost project

Comapred the LinearRegression and LassoRegression to predict prices of used cars ,and found out that LassoRegression model performed better than simple LinearRegression because of the regularization.Used the scatter functon of matplotlib library to plot and visualize the relationship between Actual Selling Prices and Predicted Prices.

ML project for old cars price prediction using Linear regression

Car Price Prediction using linear regression model for ML Activity

Repository for ML-Regression-India-Used-Car-Price-Prediction project