• Online, Self-Paced
Course Description

Building standard regression and classification models involve a number of steps which are often repetitive and can be standardized. Explore how estimators abstract away a lot of these tasks and speed up the task of model creation.

Learning Objectives

Linear Regression Models: Simplifying Regression and Classification with Estimators

  • Course Overview
  • describe the role of estimators in speeding up the development of standard regression and classification models
  • prepare a dataset to be used to train and validate a linear regression estimator
  • use the estimator's methods to train and evaluate the model and visualize its performance using Matplotlib
  • transform a dataset so that it can be used to train and validate a linear classifier estimator
  • use input functions to pass training and validation data to an estimator and evaluate its performance on
  • utilize TensorFlow estimators with linear regression models

 

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.

Feedback

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