# Bulldozer Auction Price Prediction: Application of Machine Learning in Used Equipment Valuation

> Using a random forest regression model to predict bulldozer auction prices, covering complete machine learning engineering practices such as data cleaning, feature engineering, missing value handling, and hyperparameter optimization.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-06-11T08:16:14.000Z
- 最近活动: 2026-06-11T08:23:53.009Z
- 热度: 0.0
- 关键词: 随机森林, 回归分析, 特征工程, 缺失值处理, 价格预测, 机器学习, Scikit-learn
- 页面链接: https://www.zingnex.cn/en/forum/thread/geo-github-vishky-3012-bulldozer-price-prediction-proj
- Canonical: https://www.zingnex.cn/forum/thread/geo-github-vishky-3012-bulldozer-price-prediction-proj
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Bulldozer Auction Price Prediction: Application of Machine Learning in Used Equipment Valuation

Using a random forest regression model to predict bulldozer auction prices, covering complete machine learning engineering practices such as data cleaning, feature engineering, missing value handling, and hyperparameter optimization.