Machine Learning for Absolute Beginners - Level 3

In the first and second course of the “Machine Learning for Absolute Beginners” training program, you have learned the fundamentals of AI and machine learning and discovered methods to pre-process the data before moving it into the machine learning algorithms. In this third and final course of the program, you will learn how to create eye-catching data visualizations using Python, Seaborn, and Matplotlib.

The course starts by highlighting the learning objectives and then takes you through the fundamentals of Matplotlib and Seaborn. You will learn how to use figures, axes, customization techniques, and NumPy to perform data visualization. In the rest of this course, you will discover how to develop the ranking, proportion, trend, distribution, and correlation charts.

By the end of this course, you will have the knowledge and skills to perform data visualization and exploratory data analysis (EDA) using Python, Matplotlib, and Seaborn.

The code files and all related files are placed on GitHub at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginn…

Type
video
Category
Data
publication date
2020-12-30
what you will learn

Become familiar with object-oriented and Pyplot interfaces of Matplotlib
Understand Seaborn and figure-level and axes-level functions
Find out how to create pie, treemap, and swarm charts
Plot histogram, density, box, and whisker charts
Create bar, grouped bar, stacked bar, and lollipop charts
Create scatter, correlogram, line, and area charts

duration
179
key features
Grasp the fundamentals of Matplotlib and Seaborn * Become confident in performing exploratory data analysis (EDA) for any data sets * Get ready to visualize data using a variety of charts
approach
With the help of exercises and activities, this course will show you how to use Python, Matplotlib, and Seaborn for data visualization and exploratory data analysis (EDA).
audience
This course is designed for absolute beginners who want to learn how to visualize and create appealing charts using Python, Matplotlib, and Seaborn. Basic Python skills and good knowledge of the Pandas library is needed to get started with this course. Hence, it is recommended to complete Level 1 and Level 2 of the "Machine Learning for Absolute Beginners" training program before taking up this course.
meta description
Master the fundamentals of Matplotlib and Seaborn libraries and apply your skills to perform data visualization and exploratory data analysis (EDA).
short description
In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.
subtitle
Learn how to create appealing data visualization charts
keywords
Machine Learning, Data Science, Python, Data Visualization, Matplotlib, Seaborn, Data Visualization, EDA
Product ISBN
9781801078436