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.
👉 Thank you for allowing me to do work I find meaningful. This is my full time job so I hope you will support my work.
I’ve linked the latest episode of Code with Josh below, Build a Kivy Python App – Step-by-Step Tutorial
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Along with getting access to my current Machine Learning Series, you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!
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My First eBook Is Finally Here!
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!
This isn’t just another book. It’s a hands-on, step-by-step guide designed to take you from beginner to confident data analyst—fast. Well, in just 120 pages. No fluff, no wasted time—just a real-world breakdown, plenty of Python code, and the skills you actually need.
I wrote this to make learning data analytics simple, practical, and frustration-free.
Pick up your copy today and start mastering data—without the struggle!
🎬 Build a Kivy Python App – Step-by-Step Tutorial
Over on Code with Josh ~ HERE
Check out the video and drop a ❤️. This really helps out the channel!
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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Thank you for taking the time to listen to this week’s episode!
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