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pickling

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Developed a Bengaluru house price prediction project using Python libraries like Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. Implemented data cleaning, feature engineering, and model evaluation with techniques such as median imputation, outlier removal, and Random Forest modeling (R-square: 0.88, MAPE: 0.14). Deployed the model via Flask

  • Updated Jun 26, 2024
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