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:
- Exploratory Data Analysis for Machine Learning
- Supervised Machine Learning: Regression
- Supervised Machine Learning: Classification
- Unsupervised Machine Learning
- Deep Learning and Reinforcement Learning
- 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.