The PyPod Chronicles

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

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

👉 This is my full time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest article in our new Machine Learning series!

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

If you want to build better machine learning models, you need to start with clean, well-prepared data.

In this episode of PyPod Chronicles, we’re breaking down the key steps to getting your data ready for modeling. You’ll learn how to handle missing values, scale and normalize data, and properly format categorical variables so your models perform better.

Listen in as we go over the best techniques to clean and organize your data the right way.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Python Generators: The Must-Know Trick to Write Faster, Memory-Efficient Code

This pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

👉 This is my full time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest article in our new Machine Learning series!

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Python Generators: The Must-Know Trick to Write Faster, Memory-Efficient Code

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Want to make your machine learning models work better? It all starts with good, clean data.

In this episode of PyPod Chronicles, we’ll talk about why data quality matters, the biggest mistakes people make, and simple ways to clean and prepare your data for better results.

Whether you're deep into AI or just getting started, this guide will help you set up your data the right way.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, LSTM Time Series Forecasting with TensorFlow & Python

This pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

👉 This is my full time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest article in our new Machine Learning series!

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 LSTM Time Series Forecasting with TensorFlow & 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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Want to know how to set up a solid machine learning workflow without the hassle?

In this episode, I’ll walk you through everything step by step—setting up Python, getting Jupyter Notebook running, and using key tools like Scikit-Learn, Pandas, and NumPy.

Whether you’re just starting out or already working with ML, this guide will help you organize your process and make things run smoother.

Give it a listen and get your machine learning setup done the right way.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, How to Test Python Code with PyTest

This pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

👉 This is my full time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest article in our new Machine Learning series!

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 How to Test Python Code with PyTest

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Learn how to use Python for data science, featuring key tools like Pandas, NumPy, and Scikit-Learn.

I’ll break down ML algorithms in simple steps and show you how to use them to solve real-world problems.

It’s a great starting point for anyone new to data science!

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Machine Learning Pipelines with Scikit-Learn

This pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest article in our new Machine Learning series!

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Machine Learning Pipelines with Scikit-Learn

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Want to get the most out of Python?

We’re diving into 5 super helpful Python tips that’ll speed up your code, make debugging easier, save memory, and help you work with big data more efficiently.

Whether you’re just starting or you’ve been coding for a while, these tricks will take your skills to the next level.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Machine Learning for Dummies

This pairs with our Machine Learning series, I am the Machine! The first article drops tomorrow. You can check out the roadmap here!

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

🔐 Premium Reader Benefits

* Full-length articles every Friday

* Mini challenges & additional resources

* Lifetime access to archives, including the new Machine Learning series.

* Monthly Python projects

* and so much more!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest trends, tips, and tricks in Python programming.

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Machine Learning for Dummies: Scikit-Learn

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

In this episode of PyPod Chronicles, we break down Python decorators in a way that’s easy to follow.

You’ll learn what they are, how they work, and how to use them to make your functions better, write cleaner code, and step up your programming game.

This episode will help you take your Python skills to the next level!

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Build a REST API in Python | API Crash Course

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

💥 Special 35% Off Annual Subscriptions, Happy New Year ~ Get it now!

Don't miss out on the latest trends, tips, and tricks in Python programming.

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Build a REST API in Python | API Crash Course

Over on Code with Josh ~ HERE

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Think you're not good at coding? Well, you're wrong!

In this episode of PyPod Chronicles, we dive into why coding can be tough and share easy ways to build your confidence.

I’ll walk you through simple tricks to sharpen your logic, beat the frustration, and get better at coding. This is for all the beginners out there who feel unsure but are ready to improve!

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Decorators in Python: the Complete Guide

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

💥 Special 35% Off Annual Subscriptions, Happy New Year ~ Get it now!

Don't miss out on the latest trends, tips, and tricks in Python programming.

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Decorators in Python: The Complete Guide

Over on Code with Josh ~ HERE

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

Happy Holidays to you all wherever you may be in the world! I hope this time the year is spent with your loved ones and you are enjoying some much needed R&R.

In this episode of PyPod Chronicles, we break down how to get really good at using NumPy, the go-to tool for crunching numbers and working with data in Python.

I’ll show you how to speed up your calculations, make your machine learning projects run smoother, and work with big datasets without the headache.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, Streamlit: The Best Way to Build Python Apps?

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

🎄Last call for our Special Holiday Lifetime Deal! - Get it here

Don't miss out on the latest trends, tips, and tricks in Python programming.

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 Streamlit: The Best Way to Build Python Apps?

Over on Code with Josh ~ HERE

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!

In this episode of PyPod Chronicles, we break down how these two tools work together and share practical tips you can use right away.

You’ll hear about tried-and-true best practices, real-world examples, and techniques that make analyzing data faster and easier.

Whether you're looking to speed up your queries or build applications that can handle larger datasets, this episode has everything you need to level up your workflow.

Tune in for another episode of PyPod Chronicles!

I’ve linked the latest episode of Code with Josh below, What is the Python Walrus Operator?

👉 If you get value from these podcasts, please help me out, leave it a ❤️, and share it with others. This helps more people discover this podcast! Thank you so much!

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!

This is my full-time job so I hope you will support my work.

Along with getting access to my current SQL in Python 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!

Don't miss out on the latest trends, tips, and tricks in Python programming.

Subscribe to PyPod Chronicles today and stay ahead in the dynamic world of data science and machine learning.

You unlock a boat load more content such as the Full Archives, Monthly Projects, and Long form articles. Plus you’re able to support me as this is my full-time job. Thanks!

🔐 Join our Premium for 80% more value and content ~ Check it out!

🎬 What is the Python Walrus Operator?

Over on Code with Josh ~ HERE

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

👉 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!

This is my full-time job so I hope you can support my work as we build together!