This post introduces using linear autoencoder for dimensionality reduction using TensorFlow and Keras. What is a linear autoencoder An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network...
A common use for notebooks is data visualization using charts. It is easy with several charting tools available as Python imports. This article covers some common charts using matplotlib.
Matplotlib is the most common charting package, see its documentation for details, and its examples for inspiration.