This directory contains 20 workflows.
This workflow accesses the training data, splits and preprocesses it, and trains the model, uploads the automatically captured and created prediction […]
There has been no description set for this workflow's metadata.
This workflow shows how to train an FFNN for multionomial classification of the iris dataset.
This workflow shows how to train an LSTM neural network for text classification based on the example of sentiment analysis.
Try & Catch for Google Books API Use this workflow to wrap your GET request to Google Books API into a Try & Catch TAGS: Onboarding,data engineering
Website usage data are accessed from Databricks File System, processed and aggregated on a Databricks cluster and exported for further analysis
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