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Introduction to Artificial Intelligence

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Creating Predictive Models
Description

Students will get an introduction to how linear regression is used to create a predictive model, used in Machine Learning supervised learning. They will explore an example of data from which a linear regression model can be made.

Objective

Students will be able to:

  • Explain how linear regression models can be used to predict or estimate an outcome.
  • Approximate a linear regression model by hand and assess its accuracy.

1.2 Correlation

1.3 Programming Linear Regression

1.4 Training and Testing Data

1.5 Multivariable Linear Regression

Objective

Students will be able to:

  • Create Logistic Regression models.

1.7 Building Unsupervised Models

1.8 Creating Your Own Predictive Model