a pipeline for quick data analysis and machine learning

file_operate:

• 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