Why Data Preparation Matters for Machine Learning
- Predictive AI
- H2O Driverless AI
This lesson walks through an introduction to data preparation for machine learning with H2O Driverless AI, presented by Solutions Engineer Jonathan Farinela. It previews a two chapter structure, with the first chapter covering why data preparation is important and how the classical tabular format underlies traditional machine learning problems. The lesson notes that the second chapter will shift focus to concepts specific to preparing time series data.
Key takeaways
- Why data preparation is framed as foundational before any machine learning modeling begins
- How the classical tabular format underlies traditional machine learning problem setups
- What the course's second chapter will cover once it shifts to time series specific concepts
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