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Machine Learning & Artificial Intelligence Research Organization
1. Understanding ML Project Phases.
2. Understanding the typical challenges on an ML Project with respect to:
(a) Data Volume
(b) Data Quality
(c) Feature Engineering
(d) Modeling, and
3. How to interpret and present model results.