In this episode of PyPod Chronicles, we’re talking about unsupervised learning in a way that’s easy to understand and actually useful.
You’ll learn how techniques like clustering—especially K-Means—and PCA can help you find patterns in your data you might not see right away.
It’s a great listen if you’re working with Python and want to get better at data analysis or make smarter decisions using your data.
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I’ve linked the latest episode of Code with Josh below, Django REST API with Zencoder and Custom Agents
P.S - I’m giving away one of my eBooks to my listeners, details in the podcast episode!
If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!
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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🎬 Django REST API with Zencoder and Custom Agents
Over on Code with Josh ~ HERE
Check out the video and drop a ❤️. This really helps out the channel!
📚 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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Thank you for taking the time to listen to this week’s episode!
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