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 specific charting, plotting,

graphing utilities in Python, outside of Python, dedicated software, all that stuff.

We'll cover Matt Plotlib, Seaborne, Boka, D3.

Okay, those are code libraries for generating plots and graphs.

And then we'll talk about software packages for charting and graphing, things like

Tableau, ClickView, Power BI, and Excel.

So in the last couple episodes, we worked through the EDA part of the B.I. Pipeline,

the exploratory data analysis phase of the business intelligence pipeline. Remember,

EDA comes right before cleaning your data, or some people put those two together. We got

EDA and munging. That's all just EDA.

And then your cleaned up data from that phase goes into your machine learning model. And oftentimes

a developer will build this story from beginning to end of the B.I pipeline where they're

...