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In this project, we use Data Wrangling, EDA, and Predictive Modeling to help users set a reasonable selling price for their vehicles.

: Problem Statement

When selling a car, people often face the challenge of setting an appropriate price. On one hand, they want to maximize their selling price and obtain the highest possible value for their vehicle. On the other hand, they need to ensure that the price is set reasonably so that potential buyers are enticed to make a purchase. This project addresses this predicament by leveraging data analysis techniques to predict the optimal selling price for a car based on its various attributes.

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