7.4.Model Development - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki

Learning Objectives

• Describe how to process linear regression in Python
• Apply model evaluation using visualization in Python
• Apply polynomial regression techniques to Python
• Evaluate a data model by using visualization
• Describe the use of R-squared and MSE for in-sample evaluation
• Apply prediction and decision making to Python model creation

---

• Model Development
• Lab 4: Model Development