| # Monkey Sterilization Prediction Model | |
| This repository contains a trained `LinearRegression` model to predict the number of monkeys sterilized per year based on historical data. | |
| ## Model Details | |
| * **Model Type:** Linear Regression | |
| * **Input:** Year (numeric) | |
| * **Output:** Predicted number of monkeys sterilized | |
| * **Training Data:** Provided in the `Monkey.xlsx` file. | |
| ## Files | |
| * `linear_regression_model.pkl`: The saved scikit-learn Linear Regression model object. | |
| ## Usage | |
| You can load this model using `joblib` and make predictions: | |
| ```python | |
| import joblib | |
| from huggingface_hub import hf_hub_download | |
| model_path = hf_hub_download(repo_id="Chama99/monkey-sterilization-model", filename="linear_regression_model.pkl") | |
| model = joblib.load(model_path) | |
| # Example prediction for year 2030 | |
| predicted_sterilized = model.predict([[2030]]) | |
| print(f"Predicted sterilized monkeys in 2030: {int(predicted_sterilized[0])}") | |
| ``` | |