Data Visualization in Python for Machine Learning Engineers

About Data Visualization in Python for Machine Learning Engineers

Welcome to

Data Visualization in Python for Machine learning engineers.

This is the

_third course_

in a series

designed to prepare you for

becoming a machine learning engineer

. I'll keep this updated and list

only

the courses

that are live.

Here is a list of the courses that can be

taken right now.

_Please take them in order_

The

knowledge

builds from

course to course.

The Complete Python Course for Machine Learning Engineers

Data Wrangling in Pandas for Machine Learning Engineers

Data Visualization in Python for Machine Learning Engineers (This one)

The second course in the series is about

Data Wrangling.

Please

take the

courses in order.

The

knowledge builds

from course to course in a

serial nature.

_Without_ the first course many students might struggle with this one.

Thank you!!

In this course we are going to focus on

data visualization

and in

Python

that means we are going to be learning

matplotlib

and

seaborn

.

Matplotlib

is a Python package for 2D plotting that generates

production-quality graphs.

Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc., with just a few lines of code.

Seaborn

is a Python visualization library based on matplotlib. Most developers will use seaborn if the same functionally exists in both matplotlib and seaborn. This course focuses on

visualizing.

Here are

a few things

you'll

learn

in the

course

.

A complete understanding of data visualization vernacular.

Matplotlib from A-Z.

The ability to craft usable charts and graphs for all your machine learning needs.

Lab integrated. Please don't just watch. Learning is an interactive event. Go over every lab in detail.

Real world Interviews Questions

.

Five Reasons to Take this Course

1) You Want to be a Machine Learning Engineer

It's one of the most sought after careers in the world. The growth potential career wise is second to none. You want the freedom to move anywhere you'd like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on. Without a solid understanding of data wrangling in Python you'll have a hard time of securing a position as a machine learning engineer.

2) Data Visualization is a Core Component of Machine Learning

Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.

3) The Growth of Data is Insane

Ninety percent of all the world's data has been created in the last two years. Business around the world generate approximately 450 billion transactions a day. The amount of data collected by all organizations is approximately 2.5 exabytes a day. That number doubles every month. Almost all real world machine learning is supervised. That means you point your machine learning models at clean tabular data.

4) Machine Learning in Plain English

Machine learning is one of the hottest careers on the planet and understanding the basics is required to attaining a job as a data engineer. Google expects data engineers and their machine learning engineers to be able to build machine learning models.

5) You want to be ahead of the Curve

The data engineer and machine learning engineer roles are fairly new. While you’re learning, building your skills and becoming certified you are also the first to be part of this burgeoning field. You know that the first to be certified means the first to be hired and first to receive the top compensation package. Thanks for interest in

Data Visualization in Python for Machine learning engineers.

See you in the course!!