California Housing Price Prediction
This model predicts the median house value in California districts using a Random Forest Regressor.
The model is trained and deployed automatically using a GitHub Actions CI/CD pipeline.
Model Information
- Algorithm: Random Forest Regressor
- Framework: Scikit-Learn
- Dataset: California Housing
Evaluation Metrics
- R2: 0.7748
- RMSE: 0.5433
- MAE: 0.3657
Pipeline
Data Preparation → Training → Evaluation → Automatic Deployment
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from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ramkrish07/model", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html