Homework 1: Introduction to Machine Learning
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Machine Learning Zoomcamp 2025
Ricardo Cruz Paulino
Total Score
96
Homework submissions
Homework 3: Machine Learning for Classification
Score: 2 = 2 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 4: Evaluation Metrics for Classification
Score: 4 = 3 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 5: Deploying Machine Learning Models
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 6: Decision Trees and Ensemble Learning
Score: 7 = 5 (questions) + 0 (FAQ) + 2 (learning in public)
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Homework 8: Neural Networks and Deep Learning
Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)
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Homework 9: Serverless Deep Learning
Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)
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Homework 10: Kubernetes
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Only scored homework submissions appear here.
Project submissions
Midterm Project
PassedScore: 21 = 12 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Capstone 1
PassedScore: 21 = 12 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Capstone 2
FailedScore: 14 = 14 (project) + 0 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Only completed project submissions appear here.