Predictive Modeling, Model Fitting, and Regression Analysis

About this course

Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both historical and future data in an effort to address business objectives. Finally, this course includes a hands-on activity to develop a linear regression model.

What you will learn

• The application of predictive modeling to professional and academic work
• Applications of classification analysis: decision trees
• Applications of regression analysis (linear and logistic)