This free online learnathon is a mix between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle: data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises.
The tool of choice is the open source, GUI-driven KNIME Analytics Platform. Because KNIME is open, it offers great integrations with an IDE environment for R, Python; SQL, and Spark.
This session is presented by Adeyemi Odeneye (Meetup group: Lagos KNIME Users), who has been a strong member of the KNIME community in Nigeria for several years.
We'll start with an introduction to KNIME Analytics Platform, followed by a short presentation about the data science cycle. Then we'll solve three sets of exercises, where each set will focus on one of three aspects of the data science cycle:
- Set 1 - Working on the raw data. Data access and data preparation.
- Set 2 - Machine Learning. Which model shall I use? Which parameters?
- Set 3 - I have a great model. Now what? The model deployment phase.
Due to the current situation with COVID-19, we can't, unfortunately, meet in person to work together in three groups. Instead, everyone can download the workshop material here and follow the presenter solving a subset of the exercises. Our data scientists will be available and happy to support you (remotely) while you work on the exercises.
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, each group will be in different zoom breakout rooms, where you can ask questions.
Download the latest free, open source version of knime here: knime.com/download