Linear programming is an optimization technique to identify the optimal solution in a mathematical or business model for a system of linear constraints and a linear objective function. Linear Regression in Data Science is one of the hot topics today. It is a technique that identifies a linear relationship between dependent and independent variables. And in this course, you will get introduced to Linear Programming, its Graphical method, sensitivity analysis, and assumptions in Linear Programming, and some hands-on exercise. Some best universities in the world, like MIT, NUS, UT Austin, Northwestern University, and many more universities, have collaborated with Great Learning to design the best online data science courses. Gain advanced data science and machine learning skills through an exhaustive curriculum developed by the world-class faculty. They provide you with a world-class education in the data science and machine learning course. Post completion, secure a Post Graduate, Degree, or Professional Certificate in the field. Check more information about our programs and apply right away so that you can become a professional data scientist.

Read More