Homework 1: Introduction to Machine Learning
- Submissions
- 1625
- Completion
- 69.8%
- Median score
- 7
- Lecture time
- 3.5h
- Homework time
- 1h
- Total time
- 5h
Machine Learning Zoomcamp 2025
Machine Learning Zoomcamp 2025 Dashboard
Course-level participation, homework, and project statistics.
Course overview
- Total enrollments
- 2328
- Project submissions
- 885
- Project completion rate
- 9.5%
- Average total score
- 23.5
- Graduates
- 400
Project outcomes
- Score to pass
- 7
- Passed
- 766
- Failed
- 119
- Median project score
- 23
Homework statistics
Median time and score by homework. Hover values on desktop for interquartile ranges.
| Homework | Submissions | Completion | Lecture time | Homework time | Total time | Median score |
|---|---|---|---|---|---|---|
| Homework 1: Introduction to Machine Learning | 1625 | 69.8% | 3.5h | 1h | 5h | 7 |
| Homework 2: Machine Learning for Regression | 1025 | 44.0% | 5h | 3h | 8h | 5 |
| Homework 3: Machine Learning for Classification | 856 | 36.8% | 4h | 3h | 7.2h | 5 |
| Homework 4: Evaluation Metrics for Classification | 680 | 29.2% | 4h | 3h | 8h | 5 |
| Homework 5: Deploying Machine Learning Models | 537 | 23.1% | 5h | 3h | 8h | 5 |
| Homework 6: Decision Trees and Ensemble Learning | 393 | 16.9% | 5h | 3h | 8h | 6 |
| Homework 8: Neural Networks and Deep Learning | 336 | 14.4% | 6h | 3h | 10h | 6 |
| Homework 9: Serverless Deep Learning | 249 | 10.7% | 4h | 3h | 7.8h | 5 |
| Homework 10: Kubernetes | 187 | 8.0% | 4h | 2h | 6h | 7 |
Homework 2: Machine Learning for Regression
- Submissions
- 1025
- Completion
- 44.0%
- Median score
- 5
- Lecture time
- 5h
- Homework time
- 3h
- Total time
- 8h
Homework 3: Machine Learning for Classification
- Submissions
- 856
- Completion
- 36.8%
- Median score
- 5
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 7.2h
Homework 4: Evaluation Metrics for Classification
- Submissions
- 680
- Completion
- 29.2%
- Median score
- 5
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 8h
Homework 5: Deploying Machine Learning Models
- Submissions
- 537
- Completion
- 23.1%
- Median score
- 5
- Lecture time
- 5h
- Homework time
- 3h
- Total time
- 8h
Homework 6: Decision Trees and Ensemble Learning
- Submissions
- 393
- Completion
- 16.9%
- Median score
- 6
- Lecture time
- 5h
- Homework time
- 3h
- Total time
- 8h
Homework 8: Neural Networks and Deep Learning
- Submissions
- 336
- Completion
- 14.4%
- Median score
- 6
- Lecture time
- 6h
- Homework time
- 3h
- Total time
- 10h
Homework 9: Serverless Deep Learning
- Submissions
- 249
- Completion
- 10.7%
- Median score
- 5
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 7.8h
Homework 10: Kubernetes
- Submissions
- 187
- Completion
- 8.0%
- Median score
- 7
- Lecture time
- 4h
- Homework time
- 2h
- Total time
- 6h
Assignment difficulty
Ranked by lowest median homework score. Lower median scores usually indicate harder assignments.
| Rank | Homework | Median score | Completion |
|---|---|---|---|
| 1 | Homework 2: Machine Learning for Regression | 5 | 44.0% |
| 2 | Homework 3: Machine Learning for Classification | 5 | 36.8% |
| 3 | Homework 4: Evaluation Metrics for Classification | 5 | 29.2% |
| 4 | Homework 5: Deploying Machine Learning Models | 5 | 23.1% |
| 5 | Homework 9: Serverless Deep Learning | 5 | 10.7% |
| 6 | Homework 6: Decision Trees and Ensemble Learning | 6 | 16.9% |
| 7 | Homework 8: Neural Networks and Deep Learning | 6 | 14.4% |
| 8 | Homework 1: Introduction to Machine Learning | 7 | 69.8% |
| 9 | Homework 10: Kubernetes | 7 | 8.0% |
Graduates
400 students completed the course and received certificates.