Having trouble handling categorical data in machine learning?
In this episode of PyPod Chronicles, we’ll walk you through the best ways to encode it—Label Encoding, One-Hot Encoding, Ordinal Encoding, and Frequency Encoding.
You’ll learn when to use each method, how they affect your model’s performance, and the mistakes to watch out for so you don’t mess up your results.
I’ll also share practical tips to help you avoid data leakage and make your predictions more accurate.
Tune in for another episode of PyPod Chronicles!
I’ve linked the latest episode of Code with Josh below, Build Minecraft with Ursina Engine in Python
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🎬 Build Minecraft with Ursina Engine in Python
Over on Code with Josh ~ HERE
Check out the video and drop a ❤️. This really helps out the channel!
Here are some 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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