In this use case, we use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict taxi demand in the next hour based on data from past hours. For better scalability, we will train and test the model on a Spark cluster.

This is a companion discussion topic for the original entry at

Hi Heather Fyson!
Can I have a full yourworkflow?
I want to analyse the data(covid-19) on Twitter and then predict its prevalence using node spark on the KNIME platform.
help me

@fateme you can get all those workflow on the knime hub, just follow the link in the first thread.
There is than a download option.

Thank you :pray: :relaxed: