FontFound has built a model with TensorFlow Lite and TensorFlow. Js, used a data pipeline to serve the model, and preprocessed the data using Missing Values Imputation.

This directory includes a few sample datasets to get you started.

• california_housing_data*.csv is California housing data from the 1990 US Census; more information is available at: https://docs.google.com/document/d/e/2PACX-1vRhYtsvc5eOR2FWNCwaBiKL6suIOrxJig8LcSBbmCbyYsayia_DvPOOBlXZ4CAlQ5nlDD8kTaIDRwrN/pub

• mnist_*.csv is a small sample of the MNIST database, which is described at: http://yann.lecun.com/exdb/mnist/

• anscombe.json contains a copy of Anscombe's quartet; it was originally described in

  Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American Statistician. 27 (1): 17-21. JSTOR 2682899.

  and our copy was prepared by the vega_datasets library.