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Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.

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Training

XomniaTrainingsDeployment for Data Scientists
  • 09:30 - 13:00
  • Xomnia HQ
  • €800

For questions or additional information view contact information below

Deployment for Data Scientists

Do you want to empower your business to make smarter and faster decisions using insights from data? Just hiring a bunch of data scientists and letting them create fancy predictive models is rarely enough. Eventually, their creations need to be used in a production environment to make the endeavor worthwhile. With deployment techniques, data scientists can integrate the value of advanced analytics into your business applications through an API. This makes the models available for custom web apps or dashboards, which provide a human-friendly interface for your employees or customers.

In this course, you will learn how to build a simple web server with Python and Flask, which exposes a REST API, from which a client application can request predictions from a machine learning model. You will gain hands-on experience building a predictive model using scikit-learn, then exposing it as a service via an API in Docker. You will also learn to convert predictions to JSON format, which can be used by diverse clients such as browser-based dashboards.

Tools

  • Python
  • Flask
  • Scikit-learn
  • Pandas
  • Jupyter notebook

Techniques

  • Predictive modelling
  • Exposing an API
  • JSON
  • Docker

Requirements: The course requires knowledge of Python and scikit-learn, and basic knowledge of machine learning.

  • Data science
  • API
  • Deployment
  • Python
  • Service
  • Visualization