Learn how to explore data by creating and interpreting data graphics. This session is taught using matplotlib and pandas

• In Class Instruction: 4 Hours

  • In Class code along Dataset: Housing Prices Dataset

• Project Dataset:Iowa Housing Prices

  • Estimated Time to complete Project Tasks: 1 Hour
  • Total sub tasks within the Project: 6
  • Complexity of sub tasks : Mid to High
  • Points to be scored : 550

• Skills Rehearsed

  • Perform Exploratory Data Analysis using matplotlib and pandas

• Recap of previous session
• Instructor Concept session
• In Class Quiz Administration
• Periodic Recap - Closer to the end of session
• In Class Assignments - Motivation
• Write a Blog

Check the Jupyter Notebook in the top right of the screen

• Bokeh
• Implementation of typographic and design principles in matplotlib and iPython notebook

Iowa Dataset

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this dataset will help you determine aspects which influence price of a property other than sq.ft. area and locality.

Make your first prediction with our favourite ML algorithm!