| # 🚕 Taxi Demand Prediction Model | |
| ## 📌 Description | |
| This repository contains the **best trained machine learning model** for predicting taxi demand. | |
| The model is trained and optimized to ensure **small size (< 1MB)** and good performance. | |
| ## 🧠 Model Information | |
| - Task: Taxi demand prediction | |
| - Algorithm: Random Forest Regression | |
| - Framework: Scikit-learn | |
| - Model size: < 1MB | |
| - Input: Numerical features (time, location, demand history, etc.) | |
| - Output: Predicted taxi demand | |
| ## 📂 Files | |
| - `model.joblib`: Trained model | |
| - `scaler.joblib`: Feature scaler (if used) | |
| - `app.py`: Demo application | |
| - `requirements.txt`: Required libraries | |
| ## ▶️ How to Load the Model | |
| ```python | |
| import joblib | |
| model = joblib.load("model.joblib") | |