Decision Trees vs. Random Forests vs. XGBoost – Which One Wins in Machine Learning? | Episode #94

In this episode of PyPod Chronicles, we’re breaking down Decision Trees, Random Forests, and XGBoost in a way that actually makes sense.

These machine learning models help solve real-world problems, like figuring out if someone might default on a loan. We’ll talk about when to use each one, how they make predictions better, and why they’re so important in data science and AI.

Whether you're just getting started or already working with data, this episode will give you a clear understanding of how these powerful tools work.

Give it a listen and level up your machine learning skills.

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🎬 Python Flet App – Build Desktop & Mobile Apps with One Codebase

Over on Code with Josh ~ HERE

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📚 Other Books I’ve Found Helpful:

* Python Crash Course - Here

* Automate the Boring Stuff - Here

* Data Structures and Algorithms in Python - Here

* Python Pocket Reference - Here

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