Linear vs. Logistic Regression: When to Use Each in Machine Learning | Episode #92

In this episode of PyPod Chronicles, we're talking about supervised learning and breaking down the difference between linear and logistic regression.

I’ll explain when to use each one and show you how to apply them in Python. If you need to predict numbers or classify data into groups, I’ve got you covered with simple explanations and a good breakdown.

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

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I’ve linked the latest episode of Code with Josh below, Build a Kivy Python App – Step-by-Step Tutorial

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After a lot of hard work, I’m excited to launch my very first eBook, The Data Analytics Playbook—written just for you, my fellow nerds!

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🎬 Build a Kivy Python App – Step-by-Step Tutorial

Over on Code with Josh ~ HERE

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Here are some learning resources:

👉 Get my Python & Git Guide ~ Python PDF Guide

📚 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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