https://github.com/emptymalei/indego-bike-sharing-data

A Weekly After-Work Project: download and preprocess indego bike sharing data, and models to predict ride duration
https://github.com/emptymalei/indego-bike-sharing-data

Last synced: 12 days ago
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A Weekly After-Work Project: download and preprocess indego bike sharing data, and models to predict ride duration

• Host: GitHub
• URL: https://github.com/emptymalei/indego-bike-sharing-data
• Owner: emptymalei
• Created: 2019-07-02T17:37:23.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-06-02T03:00:12.000Z (over 3 years ago)
• Last Synced: 2024-11-02T05:05:25.756Z (2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.51 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# 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`