#a pipeline for quick data analysis and machine learning
##file_operate:
***
--------
> <u>__*~~123~~*__</u>
* 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:
[//]: # ( [test func](https://blog.csdn.net/weixin_46271668/article/details/123981051))
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 |
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