This Think-a-Thon session covers essential data preparation techniques for AI projects including visualizing raw data, address outliers, detecting and managing missing data, selecting variables fit for purpose, and encoding variables using one-hot and label encoding methods.
Workshop
Data Preparation for Creating AI-ready Quality Data
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The SCHARE Data Analysis Series Part 2: Advanced Multilevel Modeling (Longitudinal, Causal & Real-World Applications)