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quick analysis and dataanalysis pipleline

Project description

#a pipeline for quick data analysis and machine learning

##file_operate:



123

  • read file and do base operate like auto asdtype etc.
  • it support multi type files operates together.

##preprocess:

create a preprocessor to preprocessing(dropna,fillna,dropoutlyers...)
you can select the file and cols by passing dict-type args.

##analysis: base on the previous manipulations,we get clean datas,we can now acutally start the analysis tasks: correlation: get correlations between value-type features and labels. compare the correlation between class-type features and labels.

##modeling: we provide base ml models to complete classification or regression tasks listing: gbdt:xgboost,light gbm,radom forests norm:svc,linear,logistic,bayes timesequence:ARMA,ARIMA nn: DeepLearning:\

statistic_test:

normality test
correlation test
significance test
parametric test
nonparametric test
表头 表头
单元格 单元格
单元格 单元格
alt 属性文本

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