π Check Out My GitHub Repository: Faisalabad House Price Prediction Project! π‘π
Iβm thrilled to share my latest project, where I utilized Machine Learning techniques to predict house prices in Faisalabad! π This repository showcases my journey through data analysis, model training, and optimization.
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Data Analysis: Utilized data cleaning and preprocessing techniques to prepare the dataset for training. π§Ήπ
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Model Selection: Implemented multiple regression models, including:
- RandomForestRegressor π²
- DecisionTreeRegressor π³
- GradientBoostingRegressor β³
- AdaBoostRegressor π
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Fine-Tuning: Employed GridSearchCV for hyperparameter optimization to enhance model performance. π οΈβ¨
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Evaluation Metrics: Analyzed model performance using:
- RMSE (Root Mean Squared Error) π
- MAE (Mean Absolute Error) π
- RΒ² (Coefficient of Determination) π
- Gain insights into the real estate market in Faisalabad. πΌ
- Discover practical applications of machine learning in predictive analytics. π
- See how I tackled real-world data challenges! π
π¬ Feedback Welcome! Iβm eager to improve and learn more. Letβs connect and collaborate on future projects! π€
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