Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli.

MLG teaches the fundamentals of machine learning and artificial intelligence.

It covers intuition, models, math, languages, frameworks, and more.

Where your other machine learning resources provide the trees, I provide the forest.

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

I'm also starting a new podcast which could use your support.

It's called Lefnear's Life Hacks and teaches productivity focused tips and tricks,

some which could prove beneficial in your machine learning education journey.

Find that at Ocdevel.com forward slash LLH.

You're listening to Machine Learning Applied?

In this episode, we're going to talk about storing your Numpai and Panda's data onto disk.

Now, here's the traditional workflow.

First, you'll get your data from somewhere.

You'll get your data set, they call it, your data set. That's going to be,

you know, housing prices and all their features, number of, number of bathrooms, number of bedrooms,

whatever. Or if you're doing natural language processing, it's going to be a corpus of text.

Maybe it's just a whole bunch of text and you're, you know, building sort of a text generating

process or you're building a supervised learning, machine learning model, and what you have is

a column of texts, okay, big paragraphs of sayings, and then another column of sentiments, whether

happy, sad, angry, etc.

Maybe you're building a sentiment analysis bot for IMDB reviews or tweets or whatnot.

...