/ML01

Primary LanguageJupyter Notebook

algorithms

decisiontree (C4.5,ID3 √,CART √)
GLM (linear √,logit √, elastic-net, ridge √,lasso))
SVM
Bayes
KNN
cluster (Kmeans √)
PCA √
Apriori
EM
PageRank

...

DL

DNN(BP)
CNN(BP)
RNN(BPTT)

special issues

markov-method
feature-selection
ensemble (bagging, boosting √, RF √)
resampling (SMOTE, RoughlyBalance, ...)
cross-validation
parameter-selection
Reinforcement Learning, RL
pre-processing (null/normalization/..)

...

evaluations

PR-curve √
ROC and AUC √
EMP value √
Lift curve

...

statistical test

Iman-Davenport test

...