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Machine Learning Zoomcamp


Taking the course

2023 Cohort

We start the course again in September 2023

Self-paced mode

You can take the course at your own pace. All the materials are freely available, and you can start learning at any time.

To take the best out of this course, we recommened this:

  • Register at DataTalks.Club and join the #course-ml-zoomcamp channel
  • For each module, watch the videos and work through the code
  • If you have any questions, ask them in the #course-ml-zoomcamp channel in Slack
  • Do homework. There are solutions, but we advise to first attempt the homework yourself, and after that check the solutions
  • Do at least one project. Two is better. Only this way you can make sure you're really learning. If you need feedback, use the #course-ml-zoomcamp channel

Of course, you can take each module independently.


  • Prior programming experience (at least 1+ year)
  • Being comfortable with command line
  • No prior exposure to machine learning is required

Nice to have but not mandatory

  • Python (but you can learn it during the course)
  • Prior exposure to linear algebra will be helpful (e.g. you studied it in college but forgot)

Asking questions

The best way to get support is to use DataTalks.Club's Slack. Join the #course-ml-zoomcamp channel.

To make discussions in Slack more organized:

1. Introduction to Machine Learning

2. Machine Learning for Regression

3. Machine Learning for Classification

4. Evaluation Metrics for Classification

5. Deploying Machine Learning Models

6. Decision Trees and Ensemble Learning

Midterm Project

Putting everything we've learned so far in practice!

8. Neural Networks and Deep Learning

For the deep learning part, we need to use a GPU. ML Zoomcamp students can use Saturn Cloud and get extra 150 GPU hours there. Message support and say "I'm enrolled in ML Zoomcamp" to get an upgrade.

9. Serverless Deep Learning

10. Kubernetes and TensorFlow Serving

11. KServe (optional)

Capstone Project 1

Putting everything we've learned so far in practice one more time!


Writing an article about something not covered in the course.

Capstone project 2 (optional)

For those who love projects!

Image classification competition

If you liked our deep learning module, join us to build a model for classifying cups, glasses, plates, spoons, forks and knives.

Submit your learning in public links here

Previous cohorts

2021 Cohort

2022 Cohort

Our other courses

If you liked this course, you'll like other courses from us: