Developed a machine learning regression model to predict used car prices using vehicle specifications. The project includes data preprocessing, feature engineering, model training, evaluation, and prediction.
From the README
🚗 Car Price Prediction using Machine Learning Project Overview Developed a machine learning regression model to predict the selling price of used cars based on various vehicle attributes such as brand, fuel type, transmission type, mileage, engine capacity, and age of the vehicle. Problem Statement Estimating the fair market value of a used car is challenging due to multiple influencing factors. This project aims to build a predictive model that can accurately estimate car prices using historical vehicle data. Dataset • Source: https://www.kaggle.com/datasets/adhurimquku/ford-car-price-prediction • Number of Records: 17000+ • Features: 9 • Target Variable: Price Technologies Used •...
Skills
- Jupyter Notebook
