数据预处理索引

数据预处理常用方法

1.filling null data    fill with average value.    using logistic regression or naive bayes algorithm to predict the null data according to other data nearby.2.data smoothness3.clean outlier data4.rectify inconsistent data5。standardization z-score

好数据的要求：
1. 标准化
2. 均方差