Machine Learning Katas
This repository contains a series of exercises for practicing your ML and Deep Learning skills, under the form of self-correcting Jupyter notebooks.
It is part of the Machine Learning course taught at the Graduate School of Cognitive Engineering (ENSC).
- Associated examples can be found in the Machine Learning Handbook repository.
- Course slides are only available in French for now. Désolé!
Content
Index by exercise type
| Working with Data | Classic Datasets | Kaggle Datasets |
|---|---|---|
| Tensor Management | Fashion-MNIST | Dogs vs. Cats |
| Data Analysis | Iris | |
| Breast Cancer | ||
| Boston Housing | ||
| Reuters News | ||
| CIFAR10 |
Index by dataset type
| Numerical Data | Images | Text |
|---|---|---|
| Iris | Fashion-MNIST | Reuters News |
| Breast Cancer | CIFAR10 | |
| Boston Housing | Dogs vs. Cats |
How to run the notebooks
-
Launch an executable version of a notebook in Colaboratory (Google account needed) by opening it and clicking this button:
-
Clone or download this repository and run a Jupyter notebook server on your local machine.
