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PART VI: Processing Data and Modeling
Curriculum
2 Sections
14 Lessons
10 Weeks
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15 Process Data and Engineer Features in the Cloud
9
1.1
UNDERSTANDING YOUR DATA NEEDS
10 mins
1.2
BENEFITS AND CHALLENGES OF CLOUD-BASED DATA PROCESSING
10 mins
1.3
THE DATA PROCESSING PHASES OF THE ML LIFECYCLE
10 mins
1.4
UNDERSTANDING THE DATA EXPLORATION AND PREPROCESSING STAGE
10 mins
1.5
FEATURE ENGINEERING
10 mins
1.6
WORKBOOK TEMPLATE: DATA PROCESSING & FEATURE ENGINEERING WORKFLOW
10 mins
1.7
SUMMARY
10 mins
1.8
REVIEW QUESTIONS
10 mins
1.9
ANSWER KEY
10 mins
16 Choosing Your AI/ML Algorithms
5
2.1
BACK TO THE BASICS: WHAT IS ARTIFICIAL INTELLIGENCE?
10 mins
2.2
FACTORS TO CONSIDER WHEN CHOOSING A MACHINE LEARNING ALGORITHM
10 mins
2.3
DATA-DRIVEN PREDICTIONS USING MACHINE LEARNING
10 mins
2.4
THE AI/ML FRAMEWORK
10 mins
2.5
WORKBOOK TEMPLATE: AI/ML ALGORITHM SELECTION GUIDE
10 mins
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