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Machine Learning Zoomcamp 2022

Syllabus

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

7. Production-Ready Machine Learning (Bento ML)

Midterm Project

8. Neural Networks and Deep Learning

9. Serverless Deep Learning

10. Kubernetes and TensorFlow Serving

11. KServe (optional)

Capstone Project

Capstone Project 2

Article (Optional)

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

Supporters and partners

Thanks to the course sponsors for making it possible to run this course

Thanks to our friends for spreading the word about the course