Demos

I started making demos in jupyter notebooks. They work very well as a way to go through statistics/data science techniques in a step-by-step manner. I’ve added Binder and Google Colab links in the notebooks so it’s easy to open them without cloning the repository. Hopefully they are useful!

Here is a non-exhaustive list of the demos I’ve made:

• Area under receiver operating characteristics (AUROC)
• Logistic regression
• Maximum likelihood estimation
• Principal component analysis (PCA)
• Recurrent neural network (RNN) in pytorch