introduction to linear regression analysis solution

') plt.ylabel (' Ratio_sugar ') plt.title (' LDA ') plt.show () W=calulate_w () plot (W)The results are as follows: The corresponding W value is:[ -6.62487509e-04, -9.36728168e-01]Because of the relationship between data distribution, LDA's effect is not obvious. So I changed the number of samples of several label=0, rerun the program to get the result as follows:The result is obvious, the corresponding W value is:[-0.60311161,-0.67601433]Transferred from: http://cache.baiducontent.com/c?m= 9d7

Mathematical model, if need to bank loans, according to the loan amount calculation, there are age, wages, assets and other factors, this translates into mathematics is:Now we are to fit a plane to make a diagram, but this fitting theoretical value and the results of the real difference, now we through the statistical error calculation method, we believe that each error is independent of the same distribution, and obey the mean value of 0 variance is the Gauss distribution of the square. Indepen

function is determined. Of course, more strictly speaking, some of these samples can be determined, because for example, to determine a straight line, you only need two points, even if three or five of them are on the top, we don't need them all. The sample points we actually need are calledSupport (Support) vector! (The name is pretty good, and they have opened a line) You can also use the summation symbol to Abbreviation: Therefore, the original g (x) expression can be written as foll

The following is an analysis of Python Chinese Garbled text. By creating a file, you can use python in the file to read the file and related code examples. The following article describes a solution to Python Chinese Garbled text, the following is a detailed description of the article. I hope you will get some benefits. Create a file named test.txt in ANSI format. The file content is: abc Chinese, which is