Homework 1: Introduction to Machine Learning
Score: 8 = 7 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Machine Learning Zoomcamp 2025
Alexis Pérez
Total Score
110
Homework submissions
Homework 2: Machine Learning for Regression
Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links
Homework 3: Machine Learning for Classification
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links
Homework 4: Evaluation Metrics for Classification
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
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Learning in public links
Homework 5: Deploying Machine Learning Models
Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)
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Learning in public links
Homework 6: Decision Trees and Ensemble Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
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Homework 8: Neural Networks and Deep Learning
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links
Homework 9: Serverless Deep Learning
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (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: 25 = 14 (project) + 9 (peer review) + 2 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Capstone 2
PassedScore: 24 = 15 (project) + 9 (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.