Create visual representations of data that models real-world phenomena or processes : Line Charts

The video tutorial explains how to create line charts using the Matplotlib library in Python. It begins with an introduction to line charts and setting up a Python file. The tutorial then covers defining data arrays for variance and bias squared, followed by plotting these values along with total error on a line chart. The final section discusses adding labels, legends, and exporting the chart in various formats. The tutorial emphasizes the bias-variance tradeoff and demonstrates how to visualize it effectively using line charts.

What does the term 'bias variance tradeoff' refer to in the context of machine learning?

What steps are involved in running the Python script for the line chart?

How can the output of the line chart be exported in different formats?