I scraped, gathered, and cleansed data from a real estate website and applied different regression analyses (linear, LASSO, ridge, elastic net) and varied machine learning methods (decision tree, random forest, XGBoost) to compare the performances of models and predict the house prices in Los Angeles
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Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost
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