Machine Learning Zoomcamp 2024

Machine Learning Zoomcamp 2024 Dashboard

Course-level participation, homework, and project statistics.

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Course overview

Total enrollments
1208
Project submissions
438
Project completion rate
19.2%
Average total score
23.0
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 1: Introduction to Machine Learning

Submissions
659
Completion
54.6%
Median score
7
Lecture time
4h
Homework time
1h
Total time
5h

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
31.9%
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
22.8%
Median score
6
Lecture time
4h
Homework time
3h
Total time
8h

Homework 6: Decision Trees and Ensemble Learning

Submissions
234
Completion
19.4%
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% 31.9%
3 Homework 9: Serverless Deep Learning 5 / 6 83.3% 11.5%
4 Homework 1: Introduction to Machine Learning 7 / 7 100.0% 54.6%
5 Homework 4: Evaluation Metrics for Classification 6 / 6 100.0% 26.8%
6 Homework 5: Deploying Machine Learning Models 6 / 6 100.0% 22.8%
7 Homework 6: Decision Trees and Ensemble Learning 6 / 6 100.0% 19.4%
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%

Graduates

169 students completed the course and received certificates.