Machine Learning with Decision Trees and Random Forest

Following our Spark (completed) and Druid+Superset working group (ongoing) , we are now opening registration on a new working group with the topic: Machine Learning with Decision Trees and Random Forest.

Timeline: September 27th – December 4th (1 online meeting/ 2 weeks, 5 meetings)
Predefined topic: Solving a regression/classification problem using decision trees and random forest. 
We will use: Python, Jupyter notebooks, sklearn, dtreeviz for tree visualisation, matplotlib/seaborn for data visualization


The group’s purpose is to go through the entire ML flow while learning about decision trees and random forest.
You can check out the group’s description and register here.