Skip to content

D
Datasets
Commit 523d5aae by Rahim Rasool
Options

Update README.md

parent d9e64150
Showing with 50 additions and 0 deletions
Wireless Indoor Localization/README.md
Data Science Dojo <br/>
Copyright (c) 2016 - 2019
---
**Level:** Beginner <br/>
**Recommended Use:** Classification Models<br/>
**Domain:** Mobile/Location<br/>
## Wireless Indoor Localization Data Set
### Predict location from wifi signal strength
---
![](181.jpg)
---
This *beginner* level data set has 2000 rows and 8 columns.
The data set contains wifi signal strength observed from 7 wifi devices on a smartphone collected in indoor space.
The data could be used to estimate the location of in one of the four rooms.
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification modelling techniques**.
Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
---
### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
|------------------- |---------------- |-------------------------------------- |-------------- |--------------- |--------------- |
| 1 | Wifi 1 | Signal strength of wifi 1 | Quantitative | -42, -67, -50 | 0 |
| 2 | Wifi 2 | Signal strength of wifi 2 | Quantitative | -58, -64, -40 | 0 |
| 3 | Wifi 3 | Signal strength of wifi 3 | Quantitative | -65, -50, -70 | 0 |
| 4 | Wifi 4 | Signal strength of wifi 4 | Quantitative | -63, -59, -37 | 0 |
| 5 | Wifi 5 | Signal strength of wifi 5 | Quantitative | -80, -73, -56 | 0 |
| 6 | Wifi 6 | Signal strength of wifi 6 | Quantitative | -90, -75, -64 | 0 |
| 7 | Wifi 7 | Signal strength of wifi 7 | Quantitative | -91, -65, -83 | 0 |
| 8 | Room | One of the four rooms (1, 2, 3, 4) | Quantitative | 1, 2, 3 | 0 |
---
### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Wireless Indoor Localization Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Wireless+Indoor+Localization).
The UCI page mentions the following 2 publications as the original source of the data set:
*1. Rajen Bhatt, 'Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms, Decision tree algorithms, Neural learning, and Applications', Amazon Books*
*2. Jayant G Rohra, Boominathan Perumal, Swathi Jamjala Narayanan, Priya Thakur, and Rajen B Bhatt, 'User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks', in Proceedings of Sixth International Conference on Soft Computing for Problem Solving,2017, pp. 286-295.*
  • Umlex @umlexmatlex commented

    Starbucks offers a wide variety of coffee drinks, ranging from classic brewed coffee and espresso-based beverages to specialty drinks like lattes, cappuccinos, and seasonal favorites. Each coffee is crafted from high-quality Arabica beans, roasted to bring out rich flavors and aromas, with options for customization such as milk type, syrups, or extra shots. Whether you prefer a bold black coffee or a creamy flavored latte, coffee from starbucks provides choices to suit every taste and occasion.

Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment
Explore Help Data Science Dojo