Homework 1: Introduction to Machine Learning
Score: 9 = 7 (questions) + 1 (FAQ) + 1 (learning in public)
Homework URL: View submission
Machine Learning Zoomcamp 2024
MarDom
Total Score
178
Homework submissions
Homework 2: Machine Learning for Regression
Score: 7 = 4 (questions) + 1 (FAQ) + 2 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 9 = 6 (questions) + 1 (FAQ) + 2 (learning in public)
Homework URL: View submission
Homework 4: Evaluation Metrics for Classification
Score: 7 = 3 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Homework 5: Deploying Machine Learning Models
Score: 4 = 3 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links
Homework 6: Decision Trees and Ensemble Learning
Score: 9 = 5 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links
Homework 8: Neural Networks and Deep Learning
Score: 10 = 6 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Homework 9: Serverless Deep Learning
Score: 8 = 4 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links
- https://cms.e.jimdo.com/app/cms/preview/index/pageId/2216593021?public=https://martialdomche.jimdofree.com/deep-learning/?preview_sid=136264
- https://github.com/MarDom15/Deep_Learning/blob/main/09-serverless/readme.md
- https://www.kaggle.com/code/martialdomche/notebook9bbe5dc4ac?scriptVersionId=212292058
Homework 10: Kubernetes and TensorFlow Serving
Score: 11 = 7 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links
Article
Score: 23 = 20 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links
- https://cms.e.jimdo.com/app/cms/preview/index/pageId/2216593021?public=https://martialdomche.jimdofree.com/deep-learning/
- https://github.com/MarDom15/Publication_paper/tree/main/A%20Comprehensive%20Analysis%20of%20Techniques%20and%20Applications#readme
- https://www.kaggle.com/code/martialdomche/notebook0738446844/edit
Only scored homework submissions appear here.
Project submissions
Midterm Project
PassedScore: 31 = 11 (project) + 9 (peer review) + 4 (learning in public / project) + 6 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Learning in public links
- https://github.com/MarDom15/Zoomcamp/blob/main/Project_1/Specifications%20Document.pdf
- https://cms.e.jimdo.com/app/cms/preview/index/pageId/2216593721?public=https://martialdomche.jimdofree.com/machine-learning/?preview_sid=911944
- https://project1-9hv5popj3psoy7al77y8s7.streamlit.app/
- https://www.kaggle.com/models/martialdomche/multi_model
Capstone 1
FailedScore: 18 = 15 (project) + 0 (peer review) + 3 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links
- https://github.com/MarDom15/Caption1_Classification_Model/blob/main/README.md
- https://cms.e.jimdo.com/app/cms/preview/index/pageId/2216593021?public=https://martialdomche.jimdofree.com/deep-learning/?preview_sid=767549
- https://www.kaggle.com/code/martialdomche/notebooke849f26670?scriptVersionId=217164313
Capstone 2
PassedScore: 32 = 13 (project) + 9 (peer review) + 3 (learning in public / project) + 6 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Only completed project submissions appear here.