https://github.com/khirotaka/sensordatasetcollection

Sensor Dataset Collection for Machine Learning.
https://github.com/khirotaka/sensordatasetcollection

dataset machine-learning sensor sensor-data

Last synced: 2 months ago
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Sensor Dataset Collection for Machine Learning.

• Host: GitHub
• URL: https://github.com/khirotaka/sensordatasetcollection
• Owner: khirotaka
• License: mit
• Created: 2019-06-22T14:52:03.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-11-26T04:27:58.000Z (over 5 years ago)
• Last Synced: 2025-02-13T03:41:22.695Z (4 months ago)
• Topics: dataset, machine-learning, sensor, sensor-data
• Language: Python
• Size: 42 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Sensor Dataset Collection

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/68a2ad7a458945e4b8a3423e5bcd5b1d)](https://app.codacy.com/app/KawashimaHirotaka/SensorDatasetCollection?utm_source=github.com&utm_medium=referral&utm_content=KawashimaHirotaka/SensorDatasetCollection&utm_campaign=Badge_Grade_Dashboard)

Sensor Dataset Collection for Machine Learning.

---

Image, NLP etc. major domain of machine learning has many famous dataset. 

For example, [MNIST](http://yann.lecun.com/exdb/mnist/), [CIFAR series](https://www.cs.toronto.edu/~kriz/cifar.html),

[PTB dataset](http://www.fit.vutbr.cz/%7Eimikolov/rnnlm/).

However, Machine learning using sensor data does not have such a famous dataset.

## Purpose

Machine Learning using sensor-data will become an important field in the future, 

However, there is no easy way to access the data sets, nor is there a well-known data set.

Purpose of this project is to provide 3 applications.

*   Sensor Dataset Loader 

*   Preprocessing function for sensor data.

*   Examples using sensor data

## Installation

Before install `SensorDatasetCollection`, please create virtual environment such as `Conda` or `pipenv`

```sh

git clone https://github.com/KawashimaHirotaka/SensorDatasetCollection.git

cd SensorDatasetCollection/

pip install .

```

or

```sh

git clone https://github.com/KawashimaHirotaka/SensorDatasetCollection.git

cd SensorDatasetCollection/

python setup.py install

```

## Usage

```python

import sdc

(x_train, y_train), (x_test, y_test) = sdc.datasets.uci.load_har()

```