• Online, Self-Paced
Course Description

In this Aspire Journey lab, you will perform architecting tasks such as binning data, imputing values, performing cross validation and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.

This lab provides access to several tools commonly used in machine learning, including:

• Microsoft Excel 2016

• Visual Studio Code

• Anaconda

• Jupyter Notebook + JupyterHub

• Pandas, NumPy, SiPy

• Seaborn Library

• Spyder IDE

Learning Objectives

In this Aspire Journey lab, you will perform architecting tasks such as binning data, imputing values, performing cross validation and evaluating a classification model. Then, test your skills by answering assessment questions after validating a model, tuning parameters, refactoring a machine learning model, and saving and loading models using Python.

This lab provides access to several tools commonly used in machine learning, including:

• Microsoft Excel 2016

• Visual Studio Code

• Anaconda

• Jupyter Notebook + JupyterHub

• Pandas, NumPy, SiPy

• Seaborn Library

• Spyder IDE

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture