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