House Price Prediction
A machine learning project that predicts house prices based on various features using regression algorithms.
🙃I am still working on this project please visit later for detailed view
Languages & Libraries
- Python, NumPy, Pandas
- Matplotlib, Seaborn
Data Preprocessing
- Missing-value imputation (mean, mode, and constant
"NA"strategies) - Outlier analysis (boxplots, histograms)
- Ordinal encoding (
CategoricalDtype) - One-hot encoding (
pd.get_dummies) - Numerical scaling via
StandardScaler
Machine Learning Models
- Linear Regression
- Support Vector Regression (SVR)
- SGDRegressor
- KNN Regressor
- Gaussian Process Regressor
- Decision Tree Regressor
- Random Forest Regressor
- Gradient Boosting Regressor (final model)
- XGBoost (
XGBRegressor) - MLP Regressor
Model Evaluation
- 7-Fold Cross-Validation
- R² Score comparison across all models
Deployment
- Model serialization:
gbr.pkl - Output submission CSV for deployment/prediction pipeline