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--- |
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license: apache-2.0 |
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tags: |
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- pricing-optimization |
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- demand-forecasting |
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- decision-modeling |
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--- |
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# Static Price Optimization Model |
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This repository hosts a trained machine learning model used for |
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static price optimization and demand-based profit comparison. |
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## Model Details |
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- Model Type: Random Forest Regressor |
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- Framework: scikit-learn |
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- Task: Demand prediction for pricing decisions |
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## Intended Use |
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This model is designed for offline pricing analysis and |
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decision support. It is not intended for real-time pricing systems. |
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## Usage |
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```python |
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import joblib |
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from huggingface_hub import hf_hub_download |
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model_path = hf_hub_download( |
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repo_id="mr-checker/static-price-optimizer-model", |
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filename="model.joblib" |
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) |
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model = joblib.load(model_path) |
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``` |
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Click the link below to know more about this model and to see the exact training and validation of the model: |
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[Static Price Optimizer](https://github.com/Kalyan9639/Machine-Learning/tree/main/ML%20Project%20-%20Static%20Pricing%20Optimizer) |
