Skip to content

Latest commit

 

History

History
30 lines (19 loc) · 818 Bytes

File metadata and controls

30 lines (19 loc) · 818 Bytes

Seaborn Visualization

At a glance

  • In Class Instruction: 4 Hours

  • In Class code along Dataset: Housing Price dataset

  • Skills Rehearsed

    • Refresher for matplotlib library.

Pre Reads

  1. Matplotlib official documentation

Learning Objective

After this session , you'll be able to

  1. Learn the advantages of Seaborn over matplotlib.
  2. Learn the different functionalities of Seaborn by using it to draw different types of plots(eg- swarmplot, boxplot, countplot etc).

Slides

Check the Jupyter Notebook in the top right of the screen

Post Reads

  1. Seaborn official documentation
  2. Guide to data visualization using Seaborn

Project

Check out project readme!