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本文详述了使用机器学习预测房屋价格的完整流程，包括问题定义、特征分析、数据预处理、模型选择与评估。通过实例探讨了如线性回归、随机森林、XGBoost等算法，并强调了数据清洗、特征工程和模型优化的重要性。
Machine Learning Workflow for House Prices
1- Introduction
This is a A Comprehensive ML Workflow for House Prices data set, it is clear that everyone in this community is familiar with house prices dataset but if you need to review your information about the dataset please visit this link.
I have tried to help Fans of Machine Learning in Kaggle how to face machine learning problems. and I think it is a great opportunity for who want to learn machine learning workflow with python completely.
I want to covere most of the methods that are implemented for hou
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