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Mobile Sensor Data Analysis [Data Science Bootcamp 2017, session 24]

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DigitYser

40 Boulevard d'Anvers

1000 Bruxelles

Belgium

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Description

Ready to join the Data Science Bootcamp 2017?

We are pleased to open our 24 Data Science Bootcamp's sessions to the public!

In this session, Joren Van Severen (from kob.ai), will offer a detailed view on how to work with mobile sensor data. Which preprocessing steps are needed and why? The gained knowledge will be applied in a classification use case (e.g. activity detection: walking vs idle vs running).

Target

  • Data Science professionals interested to learn how to work with mobile data.

Prerequisites

  • Knowledge of Python

  • Installation of Python, PIP, and Python code editor

Session outline

1. Mobile sensor data basics (What is it? What can we do with it?)
2. Sensor data preprocessing (Common issues & how to fix them)
3. Sensor data visualisation techniques
4. Classifying sensor data
5. Business case: activity detection based on mobile sensor data

Practicalities

  • Lunch is included in your ticket.

  • Doors are open at 8.30 am.

  • Accesibility: public transport (stop Yser / Ijzer ). We do not have parking but normally there are some parking slots at Rue de Commerçants.

  • Training partners and can contact us via e-mail to request their discount code (training@di-academy.com).

// If you want to avoid the EventBrite fee and pay directly to us, drop a message confirming your attendance and providing your full details (company name, address, TVA # and # of seats) to training@di-academy.com asap//

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DigitYser

40 Boulevard d'Anvers

1000 Bruxelles

Belgium

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