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What Drives The Price Of A Car

An end-to-end machine learning project analyzing 426K car listings to help dealerships optimize inventory. This project implements preprocessing (Log…

Overview

An end-to-end machine learning project analyzing 426K car listings to help dealerships optimize inventory. This project implements preprocessing (Log-scaling, Frequency Encoding) and compares Multiple Linear Regression, Lasso, Ridge, and Random Forest models, Open-source project by Wesly Laboy, published on GitHub.

Highlights

  • Primary language: Jupyter
  • Open source — view the code and contribute on GitHub

Built with

  • Jupyter
  • Crisp Dm
  • Data Science
  • Eda
  • Feature Engineering

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