taxi-tip-prediction

There are 3 repositories under taxi-tip-prediction topic.

  • Taxi_Tip_Prediction_SnapML

    A decision tree regressor from SnapML by IBM was used to predict taxi tips on a dataset from the NYC TL Commission. The model was trained on over 3 million data samples in 0.636 seconds using multithreaded CPU/GPU acceleration. Achieved mean squared error = 1.62 on test data.

    Language:Jupyter Notebook

  • Automatidata-Taxi-Tip-Prediction-Model

    Developed a machine learning model to predict whether taxi passengers 🚖 will give a generous tip (≥ 20%) 💸 based on trip and payment data. Utilized Python 🐍, Pandas 🐼, NumPy 🔢, Scikit-learn 🤖, and XGBoost 🚀 for data preprocessing, feature engineering, modeling, and evaluation.

    Language:Jupyter Notebook

  • Taxi-Tip-Prediction

    Using decision tree for New Yorks taxi tip prediction.

    Language:Jupyter Notebook