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🚕 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

import joblib

model = joblib.load("model.joblib")