This was a nice progression with a focus on the strengths and weaknesses of the models, the importance of tuning their parameters and comparing performance.

Another module in the books in #mlzoomcamp. This module centered on decision trees and ensemble methods such as Random Forests and XGBoost! It is so easy to over fit a decision tree!

Another homework in the books! #mlzoomcamp has got me in curiosity mode. I've tried to consciously question the choices we make when selecting models or metrics for examining feature importance.

Looking forward to carrying this into model evaluation week!

#machinelearning #DataTalksClub

First book of the new year started!