Linear Programming for Data Science

Learn Linear Programming Problems (LPP) for Data Science and Machine Learning
What you'll learn
Introduction to Coordinate System
Linear Inequalities
Graphing of Linear inequalities
Linear programming Problems
Requirements
Elementary math knowledge and willingness to learn
Description
If you find it difficult to understand various concepts of Maths ? If you have a feeling of not being confident in learning Math ? If you facing difficulty in solving Math questions and feel that you need to strengthen your basics? Then you have come to the right place. Throughout the course, emphasis is on learning Mathematics using practice problems.
This course is useful for both beginners as well as for advanced level. Here, this course covers the following areas
What is objective function?
What are constraints?
How to solve Linear Programming Problems (LPP)
How word problems can be converted into LPP model?
I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .
You will also get a good and friendly support in Q&A section . It is also planned that based on your feed back, new material of Linear Programming techniques like Simplex method; etc. will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students who are doing data science and other courses of management from different business schools and universities.
Waiting for you inside the course!
So hurry up and Join now !!
Who this course is for:For data science /Engineering students and professional
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