In this repository, I will place some programs i have written during my study on machine learning. The main reference book is 《统计学习方法》by 李航, or other books or blog.

table of contents:
perception -> the case of perception model forked by 20160223
k_nearest_neighbors -> the case of knn forked by 20160301
naive_bayes -> the case of Naive Bayes forked by 20160303
c4.5 -> the case of c4.5 decision tree forked by 20160312
HMM -> the case of hidden Markov model forked by 20160320
SVM -> perhaps the libsvm is better, will study future
LogisticRegression -> the case of the logistic regression algorithm of stochastic gradient descent method
AdaBoost -> the case of the adaboost algorithm
ftrl_proximal -> ftrl proximal algorithm, a ref
email_spam -> a naive bayes algorithm used for email spam detection
word2vec_comment -> a comment in Chinese for word2vec
text_classification_notes -> notes for text classification with tensorflow using cnn or cnn + rnn
auc -> caculate auc by spark
wide_deep -> wide & deep