Review links

未分类

http://www.nextbit.it/classification.php

https://google.github.io/styleguide/pyguide.html

Logistic Regression:

SUGGESTED READING

Check out these links if you wish to learn more about Logistic Regression:
http://cs229.stanford.edu/notes/cs229-notes1.pdf
https://en.wikipedia.org/wiki/Logistic_regression
http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
Decision Trees:

SUGGESTED READING

These links helped me a lot when learning about Decision Trees, hope they help you too:
https://www.quora.com/What-are-the-advantages-of-using-a-decision-tree-for-classification
https://www.quora.com/What-are-the-disadvantages-of-using-a-decision-tree-for-classification
http://scikit-learn.org/stable/modules/tree.html#complexity
http://www.cbcb.umd.edu/~salzberg/docs/murthy_thesis/survey/node32.html
SVM:

SUGGESTED READING

If you wanna go deeper with SVMs, check these out:
http://scikit-learn.org/stable/modules/svm.html
https://www.researchgate.net/post/What_is_the_running_time_complexity_of_SVM_and_ANN
http://cs229.stanford.edu/notes/cs229-notes3.pdf