This study explores how to create a fresh strategy for nation prediction in light of the 1896 to now Olympic awards. It combines the three approaches of linear regression, Pearson correlation coefficient, and Spearman correlation coefficient. Comparing the values of the Spearman and Pearson correlation coefficients for the same set of data is the major purpose of the essay. In the above example, the total number of medals and each nation's GDP (gross domestic product) are compared. The outcomes from applying these techniques do machine learning heuristics prediction of Olympic medals. Keywords: Linear Regression, Number of Static Attributes, Pearson Method, Spearman Method (NSF). final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science. Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment
3.classes will held accordingly.