Gifted Shaw
Total Score: 96
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 12 = 7 (questions) + 1 (FAQ) + 4 (learning in public)
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Homework 2: Machine Learning for Regression
Score: 7 = 2 (questions) + 1 (FAQ) + 4 (learning in public)
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Homework 3: Machine Learning for Classification
Score: 10 = 5 (questions) + 1 (FAQ) + 4 (learning in public)
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Homework 4: Evaluation Metrics for Classification
Score: 11 = 6 (questions) + 1 (FAQ) + 4 (learning in public)
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Homework 5: Deploying Machine Learning Models
Score: 11 = 6 (questions) + 1 (FAQ) + 4 (learning in public)
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Homework 6: Decision Trees and Ensemble Learning
Score: 8 = 4 (questions) + 1 (FAQ) + 3 (learning in public)
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Homework 9: Serverless Deep Learning
Score: 10 = 5 (questions) + 1 (FAQ) + 4 (learning in public)
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Project submissions
Midterm Project
Project score: 13 Passed
Score: 27 = 13 (project) + 9 (peer review) + 4 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
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