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implimention of regression in python,including standard version,lwlr version,ridge version,an implemention of greedy algorithm of regression and least squares weight version,and then use a function to find the best weight of ridgeTest calculated from 30 iteration
A simple printer of nested lists,and a simple function to transform time string,for example,from 2:58 or 2-58 to 2.58,and functions to format time and make transform between time_string and seconds and find closest time form searched one in a csv file
implimention of tree regression in python,and you can set the spilt methods in linear model to split or in constant model by changing the argument and a use for both conditons.Then use matplotlib and Tkinter,we can build the tree and change it by change its paramenter tolS and tolN
implimention of kmeans in python,first implement a local minimum version,than use it to implement a global minimum one by choosing one of the best class to split the dataset into two classes if splitting is better