iMonkey0222 / jupytercon_2018

Notebooks and code of my 2018 JupyterCon talk

JupyterCon 2018

Notebooks and code of my 2018 JupyterCon talk

Dependencies

The notebooks and code depend on the following python packages:

• numpy (Version 1.14.0)
• scipy (Version 1.0.0)
• pandas (Version 0.22.0)
• sklearn (Version 0.19.1)
• tensorflow(Version 1.2.1)
• keras (Version 2.0.6)
• ipywidgets (Version 7.1.1)
• bqplot (Version 0.11.1)

Notes

• All the examples in the talk were run in a black-themed notebook (and black-themed ipywidgets and bqplot). The colors used in the visualizations and plots were chosen to work well on the black background. Since the classic notebooks are white-themed, please update the colors (especially lighter colors like yellow) accordingly.
• Special add-ons like full-screen button etc. were used to render the visualizations on a full screen. These are not available by default in the classic Jupyter notebook.

(Hopefully with Jupyterlab black-themed notebooks/widgets and full-screen rendering will be available for all)

The following models/algorithms/tools were covered in the talk:

• Kernel Regression

• K-Means Clustering

• Dimensionality Reduction (PCA vs Autoencoder)

• Neural Network Builder

TODO

• Improve documentation
• Make notebooks run in binder