This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.

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Power BI dashboard analyzing car sales revenue and pricing drivers—make/seller performance, mileage vs price, condition buckets, transmission impact, MMR variance, and time trends.

🚗 Analyze car dealership performance with this interactive dashboard, leveraging business intelligence tools to drive sales and improve service efficiency.

Machine Learning capstone project predicting used car prices using data preprocessing, feature engineering, and regression modeling. Includes EDA, model development, evaluation, and business insights for pricing strategy.

An interactive Power BI dashboard analyzing automotive sales data, including vehicle types, pricing trends, dealer performance, customer preferences, and inventory turnover rates for data-driven dealership management.

Predicting German used car prices using Linear Regression & Business Analytics.

🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.

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