Jorge Eliecer Lambraño Arroyo
Total Score: 110
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 2: Machine Learning for Regression
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 3: Machine Learning for Classification
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 4: Evaluation Metrics for Classification
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 5: Deploying Machine Learning Models
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 6: Decision Trees and Ensemble Learning
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 8: Neural Networks and Deep Learning
Score: 7 = 5 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 9: Serverless Deep Learning
Score: 5 = 3 (questions) + 0 (FAQ) + 2 (learning in public)
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Project submissions
Midterm Project
Project score: 14 Passed
Score: 23 = 14 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
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Capstone 2
Project score: 16 Passed
Score: 27 = 16 (project) + 9 (peer review) + 2 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
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