AI Engineer L6 M4 Practise Stage Lab Workshop 3

Lab for Workshop 3: Model Evaluation Metrics

Description

The lab aims to compute and compare evaluation metrics for regression and classification models, discuss when to use the different metrics and how they are used in different applied fields. You will explore the process of selecting metrics that takes the views of analysts, business people and subject matter experts.

The lab for the workshop:

The lab is developed allowing the users to examine and run available Jupyter notebooks, and to create their own based on tasks given to them. Lab environment holds datasets (csv files), Jupyter notebook, and instructions. Users can download their work to their computer.

Learning objectives

Upon completion of this intermediate level lab, you will be able to:

• Perform regression-specific metrics
• Complete squared error metrics
• Quantify the average prediction

Intended audience

• Data Engineers
• DevOps Engineers
• Machine Learning Engineers
• Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

• Basic machine learning concepts
• Matplotlib/seaborn
• Scikit-learn