Fare Prediction

Get started

Download and extract the data

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

Install dependencies
```
pip install -r requirements.txt
```
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
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
```

Provide feedback