If you’re spending way too much time training machine learning models and not getting the results you want, this episode of PyPod Chronicles is for you.
I’m breaking down a simple but powerful trick that can save you hours and make your models work way better. You’ll learn how to use pipelines, feature engineering, and hyperparameter tuning to automate your workflow, boost accuracy, and get more out of your models with less effort.
This episode will show you exactly how to make your machine learning process faster and more efficient.
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, How to Use *args and **kwargs
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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The Data Analytics Playbook
After a lot of hard work, I’m excited to launch my very first book, 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, over the span of 10 chapters. 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!
🎬 How to Use *args and **kwargs
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
👉 If you liked this episode, please leave it a ❤️ and share it with others. This helps more people discover this podcast on Substack, which helps me out and shows me you enjoy content like this! The button is located right below here! ⤵️
Thank you for taking the time to listen to this week’s episode!
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