Homework 1: Introduction to Machine Learning
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Machine Learning Zoomcamp 2025
Azzah Sumaiyah
Total Score
99
Homework submissions
Homework 2: Machine Learning for Regression
Score: 10 = 6 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Learning in public links
- https://www.mygreatlearning.com/blog/what-is-regression/
- https://www.geeksforgeeks.org/machine-learning/ml-linear-regression/
- https://medium.com/@jangdaehan1/case-studies-utilizing-regression-models-in-supervised-learning-5a50729e22b4
- https://www.kaggle.com/code/saikatkumardey/linear-regression-case-study
Homework 3: Machine Learning for Classification
Score: 10 = 4 (questions) + 1 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links
- https://www.geeksforgeeks.org/machine-learning/getting-started-with-classification/
- https://algorit.ma/blog/classification-adalah-2022/
- https://www.datacamp.com/blog/classification-machine-learning
- https://medium.com/@bondansatrio99/apa-itu-classification-dalam-machine-learning-bcdf4fcdc614
- https://www.researchgate.net/publication/379633049_An_overview_of_machine_learning_classification_techniques
Homework 4: Evaluation Metrics for Classification
Score: 12 = 5 (questions) + 1 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links
- https://medium.com/@fatmanurkutlu1/model-evaluation-techniques-in-machine-learning-8cd88deb8655
- https://www.nature.com/articles/s41598-024-56706-x
- https://www.iguazio.com/glossary/model-evaluation/
- https://www.geeksforgeeks.org/machine-learning/metrics-for-machine-learning-model/
- https://riskcue.id/uploads/ebook/20210920085146-2021-09-20ebook085121.pdf
- https://datatron.com/how-to-evaluate-your-machine-learning-models-with-python-code/
Homework 5: Deploying Machine Learning Models
Score: 9 = 5 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Homework 6: Decision Trees and Ensemble Learning
Score: 9 = 5 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Homework 8: Neural Networks and Deep Learning
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links
- https://www.geeksforgeeks.org/deep-learning/introduction-deep-learning/
- https://medium.com/@myskill.id/image-classification-using-cnn-b0e06ef83902
- https://www.geeksforgeeks.org/machine-learning/image-classifier-using-cnn/
- https://dqlab.id/machine-learning-python-tensorflow-vs-keras
- https://milvus.io/ai-quick-reference/what-is-the-role-of-data-augmentation-in-deep-learning
- https://www.geeksforgeeks.org/computer-vision/what-is-data-augmentation-how-does-data-augmentation-work-for-images/
- https://www.datacamp.com/tutorial/complete-guide-data-augmentation
Only scored homework submissions appear here.
Project submissions
Midterm Project
PassedScore: 29 = 14 (project) + 9 (peer review) + 6 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Only completed project submissions appear here.