EuroPython 2017

Machine Learning as a Service

Sub Community: PyData



More often than not, machine learning practitioners find it hard to deploy their work in production and full stack developers find it hard to incorporate machine learning models in their pipeline. To be able to successfully do a data science-driven product/application, it requires one to have a basic understanding of machine learning, server-side programming and front-end application.


Course Content:

Data Engineering
1. Data Ingestion and Exploration

Machine Learning
2. A simple machine learning model

3. Dashboard using bokeh

API and Deployment
4. RESTful API
5. Integrating Model output to DB
6. Deployment

The repository for the workshop is here

Key takeaways


in on Thursday 13 July at 14:00 See schedule


  1. Gravatar
    I am unable to add additional speaker to this workshop. This workshop will be co-presented by me and Amit Kapoor. His registered email address is:

    Can you please add him also a speaker for this?

    — Bargava Subramanian,
  2. Gravatar

    when can we register for the workshops?

    Is it first come first served or there are enough spots for everybody?

    Thank you!
    — Alexander Machado,
  3. Gravatar
    Setup instructions for tutorial are available at:
    — Anand Chitipothu,

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