From 'Hello World' to Saving the World: Advanced Analytics with Python

In this session, we'll demonstrate how the integration between Tableau and Python can be used throughout your data science process to take your analytics to the next level. We'll leverage regression and classification models to look at environmental issues and explore how these models can be deployed at scale to democratize data science across your business.

[@PatrickBateman12420]

@Rachel, great video. Thanks for sharing. Regarding your ML models, Logistic Regression required normalized data (e.g. range 0-1). In other words, you need to bring each variable to the same scale. That's why your model performance for Logistic Regression is so bad. MinMax Normalization in Tableau's Calculated Field is:
(SUM([variable_1])-TOTAL(MIN([variable_1])/(TOTAL(MAX([variable_1])-TOTAL(MIN([variable_1])

[@SuperBhavanishankar]

Can someone Pythonista tell me how in the world does she able to use return keyword without using a def keyword i mean without creating a function? how will that execute without throwing an error?

[@zhen3356]

it works because the code is being run through the tabpy library. The code probably gets altered by the library before final execution.

[@SuperBhavanishankar]

@@zhen3356 oh

[@decadence8473]

The video is nice, but the presenter should abstain from bringing in divisive political references.