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Tutorials

The Quix tutorials provide you with experience of using Quix. They guide you in a step-by-step manner through a practical use case.

Each tutorial is divided into parts, so that you can leave a tutorial at a convenient point, come back to it later, and continue where you left off.

For the data scientist

  • Data Science


    Deploy a real-time data science project into a scalable self-maintained solution.

    Data Science

  • Sentiment Analysis


    Stream data from Twitter and build a sentiment analysis pipeline.

    Sentiment Analysis

For the ML engineer

  • ML Predictions


    Deploy a real-time data science project into a scalable self-maintained solution.

    ML Predictions

  • ML Pipelines


    Extract data from Quix to train your ML model in Jupyter Notebook.

    ML Pipelines

  • Image Processing


    Use ML in real-time image processing using London's 'Jam Cams'.

    Image Processing

  • Event Detection


    Build a real-time event detection pipeline.

    Event Detection

For the simulation engineer

  • MATLAB and Simulink


    Deploy real-time MATLAB transformations and Simulink models to Quix.

    MATLAB and Simulink

Need help?

If you'd like some help with a tutorial, or advice on a suitable tutorial for your use case, feel free to ask in the Quix Forum!