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Introduction to Artificial Intelligence (2021)

Creating Predictive Models

Students learn how to make predictive models using linear and logistical regression and clustering. Students create their own predictive models using complex data sets.

Lessons

4.1 Introduction to Predictive Models

  • Introduction to Predictive Models
  • Introduction to Predictive Models
  • Making a Line of Best Fit
  • Making a Line of Best Fit Response
  • Comparing Lines of Best Fit
  • +1 more

4.2 Correlation

  • Correlation
  • Correlation
  • Pirates vs Global Warming
  • Spurious Correlations

4.3 Programming Linear Regression

  • Programming Linear Regression
  • Live Coding Demo: Linear Regression
  • Programming Linear Regression
  • Checking Correlation
  • Crickets and Temperature
  • +4 more

4.4 Training and Testing Data

  • Training and Testing Data
  • Live Coding Demo: Training and Testing Data
  • Training and Testing Data
  • Crickets Chirping and Temperature
  • Crickets Chirping Response
  • +2 more

4.5 Multivariable Linear Regression

  • Multivariable Linear Regression
  • Live Coding Demo: Multivariable Linear Regression
  • Multivariable Linear Regression
  • Visualizing the Antelope Data
  • Antelope Linear Regression Example
  • +7 more

4.6 Classification and Logistic Regression

  • Logistic Regression and Classification
  • Live Coding Demo: Logistic Regression
  • Logistic Regression and Classification
  • Iris Classification Example
  • Purchase an SUV
  • +1 more

4.7 Building Unsupervised Models

  • Building Unsupervised Models
  • Live Coding Demo: Kmeans and Clustering
  • Building Unsupervised Models
  • Clustering and Old Faithful
  • Kmeans and Complex Shapes
  • +5 more

4.8 Creating Your Own Predictive Model

  • Project: Your Own Predictive Model
  • Project Rubric
  • Step 2: Choosing the Best Algorithm
  • Get to Know You Dataset
  • Step 2: Choose Your Model
  • +5 more

Courses that include this module