回归或分类算法选择

特征选择：
PCA  //特征降维
univariate selection  //单特征向量选择

Choosing the right estimator


Often the hardest part of solving a machine learning problem can be finding the right estimator for the job.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
Click on any estimator in the chart below to see its documentation.