Homework 1: Introduction to Machine Learning
- Submissions
- 659
- Completion
- 54.5%
- Median score
- 7
- Lecture time
- 4h
- Homework time
- 1h
- Total time
- 5h
Machine Learning Zoomcamp 2024
Machine Learning Zoomcamp 2024 Dashboard
Course-level participation, homework, and project statistics.
Course overview
- Total enrollments
- 1210
- Project submissions
- 438
- Project completion rate
- 19.2%
- Average total score
- 23.0
- Median total score
- 7
- Overall completion rate
- 20.9%
- Graduates
- 169
Project outcomes
- Score to pass
- 0
- Passed
- 391
- Failed
- 47
- 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 | 659 | 54.5% | 4h | 1h | 5h | 7 |
| Homework 2: Machine Learning for Regression | 468 | 38.7% | 5h | 3h | 8h | 5 |
| Homework 3: Machine Learning for Classification | 385 | 31.8% | 5h | 3h | 8h | 6 |
| Homework 4: Evaluation Metrics for Classification | 324 | 26.8% | 4h | 3h | 7h | 6 |
| Homework 5: Deploying Machine Learning Models | 275 | 22.7% | 4h | 3h | 8h | 6 |
| Homework 6: Decision Trees and Ensemble Learning | 234 | 19.3% | 4h | 3h | 7h | 6 |
| Homework 8: Neural Networks and Deep Learning | 162 | 13.4% | 6h | 3h | 10h | 6 |
| Homework 9: Serverless Deep Learning | 139 | 11.5% | 4h | 4h | 8h | 6 |
| Homework 10: Kubernetes and TensorFlow Serving | 99 | 8.2% | 5.5h | 2h | 9.5h | 7 |
| ML Zoomcamp 2024 Competition | 24 | 2.0% | - | - | - | 9 |
| Article | 17 | 1.4% | - | - | - | 23 |
Homework 2: Machine Learning for Regression
- Submissions
- 468
- Completion
- 38.7%
- Median score
- 5
- Lecture time
- 5h
- Homework time
- 3h
- Total time
- 8h
Homework 3: Machine Learning for Classification
- Submissions
- 385
- Completion
- 31.8%
- Median score
- 6
- Lecture time
- 5h
- Homework time
- 3h
- Total time
- 8h
Homework 4: Evaluation Metrics for Classification
- Submissions
- 324
- Completion
- 26.8%
- Median score
- 6
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 7h
Homework 5: Deploying Machine Learning Models
- Submissions
- 275
- Completion
- 22.7%
- Median score
- 6
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 8h
Homework 6: Decision Trees and Ensemble Learning
- Submissions
- 234
- Completion
- 19.3%
- Median score
- 6
- Lecture time
- 4h
- Homework time
- 3h
- Total time
- 7h
Homework 8: Neural Networks and Deep Learning
- Submissions
- 162
- Completion
- 13.4%
- Median score
- 6
- Lecture time
- 6h
- Homework time
- 3h
- Total time
- 10h
Homework 9: Serverless Deep Learning
- Submissions
- 139
- Completion
- 11.5%
- Median score
- 6
- Lecture time
- 4h
- Homework time
- 4h
- Total time
- 8h
Homework 10: Kubernetes and TensorFlow Serving
- Submissions
- 99
- Completion
- 8.2%
- Median score
- 7
- Lecture time
- 5.5h
- Homework time
- 2h
- Total time
- 9.5h
ML Zoomcamp 2024 Competition
- Submissions
- 24
- Completion
- 2.0%
- Median score
- 9
- Lecture time
- -
- Homework time
- -
- Total time
- -
Article
- Submissions
- 17
- Completion
- 1.4%
- Median score
- 23
- Lecture time
- -
- Homework time
- -
- Total time
- -
Assignment difficulty
Ranked by lowest median question score relative to the maximum achievable. Normalizing by question count makes homeworks of different lengths comparable; a lower percentage indicates a harder assignment.
| Rank | Homework | Median score | Score % | Completion |
|---|---|---|---|---|
| 1 | Homework 2: Machine Learning for Regression | 4 / 6 | 66.7% | 38.7% |
| 2 | Homework 3: Machine Learning for Classification | 5 / 6 | 83.3% | 31.8% |
| 3 | Homework 9: Serverless Deep Learning | 5 / 6 | 83.3% | 11.5% |
| 4 | Homework 1: Introduction to Machine Learning | 7 / 7 | 100.0% | 54.5% |
| 5 | Homework 4: Evaluation Metrics for Classification | 6 / 6 | 100.0% | 26.8% |
| 6 | Homework 5: Deploying Machine Learning Models | 6 / 6 | 100.0% | 22.7% |
| 7 | Homework 6: Decision Trees and Ensemble Learning | 6 / 6 | 100.0% | 19.3% |
| 8 | Homework 8: Neural Networks and Deep Learning | 6 / 6 | 100.0% | 13.4% |
| 9 | Homework 10: Kubernetes and TensorFlow Serving | 7 / 7 | 100.0% | 8.2% |
Question difficulty
Share of submitted answers that were correct, per question. A lower percentage points to a harder or more confusing question. Participation-only questions are excluded.
| Homework | Question | Correct | Answers | % correct |
|---|---|---|---|---|
| Homework 1: Introduction to Machine Learning | Records count | 646 | 659 | 98.0% |
| Laptop brands | 612 | 659 | 92.9% | |
| Missing values | 571 | 659 | 86.6% | |
| Maximum final price | 651 | 659 | 98.8% | |
| Median value of Screen | 579 | 659 | 87.9% | |
| Sum of weights | 597 | 659 | 90.6% | |
| Homework 2: Machine Learning for Regression | Missing values | 448 | 468 | 95.7% |
| Median for RAM | 463 | 468 | 98.9% | |
| Filling NAs | 237 | 468 | 50.6% | |
| Regularization | 169 | 468 | 36.1% | |
| RMSE spread | 345 | 468 | 73.7% | |
| RMSE on Test | 318 | 468 | 67.9% | |
| Homework 3: Machine Learning for Classification | Mode for the column `education` | 373 | 385 | 96.9% |
| Two features with the biggest correlation | 354 | 385 | 91.9% | |
| Variable with the biggest mutual information score | 363 | 385 | 94.3% | |
| Accuracy on the validation dataset | 364 | 385 | 94.5% | |
| Smallest `C` that leads to the best accuracy on the validation set | 196 | 385 | 50.9% | |
| Homework 4: Evaluation Metrics for Classification | Highest feature AUC | 304 | 324 | 93.8% |
| Validation AUC | 269 | 324 | 83.0% | |
| Precision and recall | 275 | 324 | 84.9% | |
| F1 score threshold | 269 | 324 | 83.0% | |
| STD for 5-Fold CV | 269 | 324 | 83.0% | |
| Best C | 285 | 324 | 88.0% | |
| Homework 5: Deploying Machine Learning Models | Probability of subscription | 237 | 275 | 86.2% |
| Probability of subscription (Flask) | 239 | 275 | 86.9% | |
| Size of base image | 225 | 275 | 81.8% | |
| Probability of subscription (Docker) | 218 | 275 | 79.3% | |
| Homework 6: Decision Trees and Ensemble Learning | Most important featute | 228 | 234 | 97.4% |
| Random forest RMSE | 214 | 234 | 91.5% | |
| Number of estimators | 177 | 234 | 75.6% | |
| Best max_depth | 203 | 234 | 86.8% | |
| Most important feature | 205 | 234 | 87.6% | |
| Eta for XGBoost | 198 | 234 | 84.6% | |
| Homework 8: Neural Networks and Deep Learning | Best loss function | 151 | 162 | 93.2% |
| Total number of parameters | 134 | 162 | 82.7% | |
| Median of training accuracy for all the epochs | 144 | 162 | 88.9% | |
| Standard deviation of training loss for all the epochs | 131 | 162 | 80.9% | |
| Mean of test loss for all the epochs | 144 | 162 | 88.9% | |
| Average of test accuracy for the last 5 epochs | 133 | 162 | 82.1% | |
| Homework 9: Serverless Deep Learning | Size of converted model | 125 | 139 | 89.9% |
| Output index | 132 | 139 | 95.0% | |
| Model output | 117 | 139 | 84.2% | |
| Image size | 112 | 139 | 80.6% | |
| Model output (docker) | 81 | 139 | 58.3% | |
| Homework 10: Kubernetes and TensorFlow Serving | <value> of the probability of getting a subscription | 92 | 99 | 92.9% |
| The smallest deployable computing unit | 96 | 99 | 97.0% | |
| `Type` of the running service | 97 | 99 | 98.0% | |
| Command to upload docker image | 99 | 99 | 100.0% | |
| Create deployment (<Port>) | 99 | 99 | 100.0% | |
| ML Zoomcamp 2024 Competition | Your score (public) | 0 | 24 | 0.0% |
| Your score (private - after the competition finishes) | 0 | 24 | 0.0% | |
| Article | PR URL | 0 | 17 | 0.0% |
Submission timing
When homework submissions arrive relative to the deadline, across all assignments.
- A week or more early
- 292 (10.5%)
- 3-7 days early
- 460 (16.5%)
- 1-3 days early
- 665 (23.9%)
- Final day
- 627 (22.5%)
- After the deadline
- 742 (26.6%)
Engagement over time
Homework submissions per week, across all assignments. Bars are scaled to the busiest week.
- Sep 16, 2024
- 165
- Sep 23, 2024
- 206
- Sep 30, 2024
- 397
- Oct 07, 2024
- 458
- Oct 14, 2024
- 371
- Oct 21, 2024
- 319
- Oct 28, 2024
- 264
- Nov 04, 2024
- 165
- Nov 18, 2024
- 8
- Nov 25, 2024
- 35
- Dec 02, 2024
- 143
- Dec 09, 2024
- 112
- Dec 16, 2024
- 91
- Dec 23, 2024
- 11
- Feb 17, 2025
- 41
Graduates
169 students completed the course and received certificates.