emptymalei/indego-bike-sharing-data

A Weekly After-Work Project: download and preprocess indego bike sharing data, and models to predict ride duration

Indego bike sharing

Indego bike sharing data

What is included

1. app contains the main code
2. notebooks are my experiments

Details

.
├── README.md               # this readme file
├── app                     # main code is here
│   ├── config              # config files
│   ├── get_indego_data.py  # RUN this to get the data from data source
│   ├── prediction.py       # RUN this with params to get the predictions
│   └── rideindego          # utility functions
├── notebooks                             # My experimental notebooks
│   ├── etl.ipynb                         # experiments on ETL
│   ├── external-data-enhancing.ipynb     # Didn't have time to do this: enhance data using external data
│   ├── playground                        # Just a playground nothing useful
│   ├── tree_regressor.ipynb             # testing decision tree regressor
│   └── wrangling_and_explorations.ipynb  # data wrangling and EDA
├── notes
│   └── improvements.md
└── requirements.txt

Usage

Specify parametesr in config/rideindego.yml

Create environment conda create --name indego pip

Install requirements: pip install -r requirements.txt

Fetch data:

python app/get_indego_data.py

Predictions:

python app/prediction.py -f '{"passholder_type":"Indego30","trip_route_category":"One Way","hour":11,"weekday":0,"month":8, "bike_type": "standard"}'

Development

1. create environment conda create --name indego pip