Ford PriceSense is a machine learning project that predicts the optimal resale price of Ford cars based on historical sales data. The project covers data cleaning, exploratory data analysis, and model development using linear, polynomial, and ridge regression techniques, with hyperparameter tuning via grid search to achieve the best performance.