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Data Analysis Of House Sales In King County USA

Project information

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

CSV Python sales data science machine lear... machine-lear... jupyter jupyter note... jupyter-note... NumPy pandas matplotlib seaborn scikit-learn scikitlearn exploratory ... Ridge Regres... polynomial r... linear regre... Multiple Lin... project artificial i... accuracy boxplot regplot R2

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Created on

October 11, 2024

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