Car Price Prediction
Built a linear regression model for predicting used car prices based on various vehicle characteristics. The model helps both buyers and sellers make well-informed decisions about vehicle pricing by analyzing factors such as mileage, age, brand, model, and condition. The research focused on model precision and accuracy, providing valuable insights for the automotive market.
Project Overview
Built a linear regression model for predicting used car prices based on various vehicle characteristics. The model helps both buyers and sellers make well-informed decisions about vehicle pricing by analyzing factors such as mileage, age, brand, model, and condition. The research focused on model precision and accuracy, providing valuable insights for the automotive market.
Technologies Used
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