This will be a Learnathon kind of workshop. During this workshop we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. The tool of choice for this Learnathon is KNIME Analytics Platform.
KNIME Analytics Platform is an open, open-source, GUI driven, data analytics platform, that covers all your data needs from data import to final deployment. Being open, KNIME Analytics Platform offers a vast integration and IDE environment for R, Python, SQL, and Spark.
After an initial introduction to the tool and to the data science cycle, we will split in groups. Each group will focus on one of three aspects of the data science cycle:
- Group 1. Working on the raw data. Data Access and Data Preparation
- Group 2. Machine Learning. Which model shall I use? Which parameters?
- Group 3. I have a great model. Now what? The Model Deployment phase