Fare Prediction

Get started

1. Download and extract the data

   https://www.kaggle.com/c/new-york-city-taxi-fare-prediction/data
   

2. Install dependencies

   pip install -r requirements.txt
   

3. Clean and process the data for ML training

   python processData.py
   

   NOTE: This will process the entire dataset (6gb) if you let it run forever. You can get a decent 100,000 lines in 50 iterations/20 seconds

4. Run the model -Pick a main function to execute, train or batch_train -Util functions include loss graphing and kaggle submission

   -Keras neural network regression:

   python kerasNeuralNet.py
   

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