Data science and Data preparation with KNIME
Perform data science and data preparation with KNIME, with examples of data science machine learning workflows
Created by Dan We
Explore efficient ways to clean and prepare data using KNIME's intuitive interface. Build practical workflows for data science and machine learning tasks, all without writing code. Strengthen your KNIME skills and streamline your data preparation process for faster results.
Packt | Sep 2021 | 240 min
What You Will Learn
You'll follow a hands-on case study, working step by step through real data preparation and analysis tasks. By building your own workflows in KNIME, you'll gain practical experience with importing data, using loops, web scraping, scripting, and optimizing machine learning models. Each activity builds your confidence and skill with the platform.
Key Features
- Import and clean data efficiently using KNIME's drag-and-drop tools
- Apply practical machine learning workflows without coding
- Boost productivity by automating repetitive data preparation tasks
Target Audience
Ideal for data analysts and aspiring data scientists who already know the basics of KNIME and want to work more efficiently. If you've faced data cleaning challenges or want to automate repetitive tasks, you'll benefit from practical workflows and tips. Some familiarity with machine learning concepts will help you get the most from advanced sections.
