GitHub - mariacristina13/House_Sales_EDA_Regression_Modeling: Analysis and price prediction of house sales in King County, Seattle between May 2014 and May 2015. Explores key features such as square footage, grade, and waterfront views using Linear Regression, Ridge Regression, and Polynomial Features within a scikit-learn pipeline.

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House_Sales_in_King_Count_USA.ipynb		House_Sales_in_King_Count_USA.ipynb

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Analysis and price prediction of house sales in King County, Seattle between May 2014 and May 2015. Explores key features such as square footage, grade, and waterfront views using Linear Regression, Ridge Regression, and Polynomial Features within a scikit-learn pipeline.

eda kaggle linear-regression pandas polynomial-features pyton real-estate ridge-regression scikit-learn seaborn

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