681: XGBoost: The Ultimate Classifier — with Matt Harrison

#XGBoost #PythonLibraries #XGBoostClassifier

Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with ‪@JonKrohnLearns‬ for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!

This episode is brought to you by Pathway, the reactive data processing framework (https://pathway.com/?from=superdatasc..., by Posit, the open-source data science company (https://posit.co), and by Anaconda, the world's most popular Python distribution (https://superdatascience.com/anaconda). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information.

In this episode you will learn:
• [00:00:00] Introduction
• [00:04:54] Matt's book ‘Effective XGBoost’
• [00:06:58] What is XGBoost
• [00:16:49] XGBoost's key model hyperparameters
• [00:27:45] XGBoost's secret sauce
• [00:32:33] When to use XGBoost
• [00:39:30] When not to use XGBoost
• [00:45:24] Matt’s recommended Python libraries
• [00:55:45] Matt's production tips

Additional materials: https://www.superdatascience.com/681