In this episode, we get into feature engineering, feature selection, and machine learning techniques that help turn raw data into useful insights.
We’ll cover strategies like correlation analysis, variance thresholding, and recursive feature elimination so you can build stronger models and improve accuracy.
This episode is great for data scientists and ML enthusiasts who want to level up their skills and make their models work better. Don’t miss out on this essential episode to take your data science journey to the next level!
👉 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 Live Chat Room in Python with Flask & SocketIO
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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I’ve put in a ton of work to bring you two powerful eBooks that make learning data analytics simple and practical. This is for all you guys, my readers!
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Grab your copies today to boost your skills and your careers! Thank you for all your love and support in this journey.
🎬 Build a Live Chat Room in Python with Flask & SocketIO
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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