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
Related
-
Workshop
Model Building and Evaluation for Reduction of Errors in Application
-
Workshop
An Introduction to Python for Data Science
-
Workshop
Engineering your data for effective AI Model Development