In this Learnathon, you w ill learn more about the data science cycle: data access, data blendin g, data preparation, model training, optimization, testing, and deployment. We will work in groups to create a workflow-based solution to guided exerc ises.
\nThe tool of choice for this Learnathon is the open- source, GUI-driven KNIME Analytics Platform. Because KNIME is open-source, it offers great integrations with an IDE environment for R, Python, SQ L, and Spark. After an initial introduction to the tool and to the dat a science cycle, we will split into groups. Each group will focus on one of three aspects of the data science cycle.
\nGroup 1: Workin g on the raw data. Data access and data preparation.
\nGrou p 2: Machine Learning. Which model shall I use? Which parameters?
\nGroup 3: I have a great model, now what? The model deployment phas e.
\nFAQ
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\nQ: What do I need to bring?
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\nA:
Please bring your own laptop, ideally pre-installed with the latest versio
n of KNIME Analytics Platform, which you can download here.
\nTo get the latest version, open K
NIME and go to "File -> Update KNIME" to get the latest versio
n.
\nPlease download the workshop material here.
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\nQ: How can I get familiar with KNIME Ana
lytics Platform?
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\nA: To get familiar with KNIME Analytics Pla
tform, take our free E-Learning Course.
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\nQ: How do I download KNIME Analytic
s Platform?
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\nA: To install KNIME Analytics Platform, follow t
he instructions provided in these YouTube videos: