Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
DataScienceUWL
GitHub Repository: DataScienceUWL/DS775
Path: blob/main/Lessons/Lesson 04 - Combining Predictive and Prescriptive Analytics (Project)/Overview_04.ipynb
870 views
Kernel: Python 3 (system-wide)

Overview for Lesson 4

This lesson is really a project which you can think of as a more involved homework problem that gives you the opportunity to dive a little deeper. The presentation for this week is a short notebook without videos.

Topics

  • Combining Linear Regression and Linear Programming

Learning Outcomes

The student will be able to:

  • compute linear regression models in Python

  • extract coefficients from linear regression models to build objectives and constraint expressions for a linear program

Student "To Do" Checklist

  • Complete the homework notebook in CoCalc and transfer your answers to the Canvas Quiz by the due date which is shown both in Canvas and CoCalc.

Use Piazza to ask questions when you have them and be sure to check Piazza regularly so you don't miss out on any good Q & A or other discussions.

This may be one of the more challenging weeks from a programming perspective. Start early and ask plenty of questions!