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
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