🚕 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 modelscaler.joblib: Feature scaler (if used)app.py: Demo applicationrequirements.txt: Required libraries
▶️ How to Load the Model
import joblib
model = joblib.load("model.joblib")