---
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)