This repo contains linear programming examples of production scheduling and distribution using Excel and Python. These activities are largely from a Udemy course on Data Science and Supply Chain ...

In this project, the aim was to develop a predictive model using linear regression to estimate the amount of tips that would be received in a restaurant setting. By analyzing various factors such as ...

Abstract: Compressed sensing helps in the reconstruction of sparse or compressible signals from small number of measurements. The sparse representation has great importance in modern signal processing ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.<BR><BR>I've done several other problems already, but ...

Data is rarely so uniform and predictable that plotting data points creates a perfectly linear arrangement. Scatter charts might have wildly varying plots that create a seemingly random correlation ...