About this course
Linear Programming for Data Science
- Introduction to Linear Programming
- Graphical method
- Sensitivity analysis
- Assumptions in Linear Programming
- Case study - Investment Problem
- Case study - Portfolio optimization
- Case study - Recruitment planning
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