Linear Nonlilear Programming

Today many economists, engineers and mathematicians are familiar with linear programming and are able to apply it. This is owing to the following facts: during the last 25 years efficient methods have been developed; at the same time sufficient computer capacity became available; finally, in many different fields, linear programs have turned out to be appropriate models for solving practical problems. However, to apply the theory and the methods of linear programming, it is required that the data determining a linear program be fixed known numbers.

Learn linear programming step by step with Python – build models, solve optimization problems, and apply in real cases.

Learning step by step skills of linear programming problem (LPP)

Learning step by step skills of linear programming problem (LPP)

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification.

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners.

Learning step by step skills of linear programming problem (LPP).