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Applied Predictive Modeling

Applied Predictive Modeling

Expected Duration
Lesson Objectives
Course Number
Expertise Level


Explore predictive modeling and commonly used models like regressions, clustering, and decision trees that are applied in Python with the scikit-learn package.

Expected Duration (hours)

Lesson Objectives

Applied Predictive Modeling

  • Course Overview
  • recognize characteristics of predictive modeling
  • use Python and related data analysis libraries to perform exploratory data analysis
  • recognize key features of Linear and Logistic regressions
  • apply a linear regression with Python
  • apply a logistic regression with Python
  • recognize key features of hierarchical clustering and K-Means clustering
  • apply hierarchical clustering with Python
  • apply K-Means clustering with Python
  • recognize key features of Decision Trees and Random Forests
  • apply a Decision Tree with Python
  • apply a Random Forest with Python
  • apply linear regression, logistic regression, hierarchical clustering, Decision Trees, and Random Forests with Python
  • Course Number:

    Expertise Level