Built a Ridge Regression model to accurately predict house prices. The project included data cleaning, feature engineering, model training, and evaluation. Achieved an R² score of 0.85. Tools used: Python, Scikit-learn, Pandas, Matplotlib, Seaborn.
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Built a Ridge Regression model to accurately predict house prices. The project included data cleaning, feature engineering, model training, and evaluation. Achieved an R² score of 0.85.
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