Car Pricing Analysis – Predictive Modeling

Job Description:

This project involved performing an exploratory data analysis (EDA) and building predictive models to estimate used car prices based on key features. Collected and cleaned car datasets, analyzed relationships between variables, and visualized trends affecting car prices. Developed machine learning models (e.g., Linear Regression, Random Forest) to predict car values with accuracy. The analysis provides actionable insights for buyers and sellers in the automotive market.