what other computational tutorials do we want

[mabuice]

Any Basic Statistics?

Expansion of clustering/classification into other examples K-Means GMM Random Forrest Logistic Regression Parametric vs non-parametric?

Other feature selection approaches Boosting?

Model Selection?

PyTorch tutorial (also Jax?)

Basic feedforward nets CNNs

Fitting RNNs to activity

Autoencoders (connected to neural theories) VAEs?

Common Data Processing techniques for common modalities

Git Tutorial

Other open tools? VSCode?

[mabuice]

example of why and when to use each clustering/classification algorithm

[saskiad]

Expansion of clustering/classification into other examples K-Means GMM Random Forrest Logistic Regression Parametric vs non-parametric?

Other feature selection approaches Boosting?

Model Selection?

PyTorch tutorial (also Jax?)

Basic feedforward nets CNNs

[JEElsner]

A basic tutorial on how to navigate and use various features of Code Ocean would be useful.