mr-checker/static-price-optimizer-model

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

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