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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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