Interdisciplinary Workshop on AI 2019 - @ecsvlc

Welcome to the repository for our workshop, part of the festival for doctoral research 2019. The notebooks are grouped into folders according to the skills / tools that they cover. Specifcally these are: Python, scikit-learn and Keras. While it is possible to run the notebooks on your own machine, we recommend opening them in a Colab environment.

Opening in Colab

Colab is a free resource provided by Google that can be used to run Jupyter notebooks. It provides a useful platform to develop and test data science code, even if it requires the use of a GPU. The notebooks in this repo can be opened in Colab with the following instructions:

1. Go to the Colab website: https://colab.research.google.com/
2. Choose Github in the top bar
3. Type ecs-vlc into the search box and hit enter
4. Ensure that this repository is selected from the drop down
5. Choose a notebook and get coding!

Note - we recommend you select the copy to drive button in the top left corner, this will let you save your work in your google drive

The notebooks

python

• Basic: Introduction to python and machine learning

scikit-learn

• Easy: Diabetes prediction - Decision tree classification
• Intermediate: Text classification - K-means, KNN, SVM

keras

• Advanced:
  • part 1: Digit recognition - CNN
  • part 2: Boat classification - Transfer learning
  • part 3: Sequence classification - RNN