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These are my notes and the code of the IBM Machine Learning Professional Certificated offered by IBM & Coursera.

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IBM Machine Learning Professional Certificate

These are my notes and the code of the IBM Machine Learning Professional Certificate offered by IBM & Coursera.

The Specialization is divided in 6 courses, and each of them has its own folder with its guide & notebooks:

  1. Exploratory Data Analysis for Machine Learning
  2. Supervised Machine Learning: Regression
  3. Supervised Machine Learning: Classification
  4. Unsupervised Machine Learning
  5. Deep Learning and Reinforcement Learning
  6. Machine Learning Capstone: Deployment of a Recommender System

To use these notes, just go to the topic folder and follow the Markdown file in there. Each topic folder contains a lab/ directory with example/exercise notebooks.

If you are interested in similar contents, have a look at my other repository machine_learning_coursera, which contains the notes and exercises of the Machine Learning course by Andrew Ng at Coursera / Standford.

Mikel Sagardia, 2022.
No guarantees.

If you find this repository helpful and use it, please link to the original source.

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These are my notes and the code of the IBM Machine Learning Professional Certificated offered by IBM & Coursera.

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