#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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Release files for quickpanda-aidroid 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| quickpanda_aidroid-0.0.1.tar.gz | 18.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quickpanda_aidroid-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.3 kB
Release files / quickpanda_aidroid-0.0.1.tar.gz
| Download URL | quickpanda_aidroid-0.0.1.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / quickpanda_aidroid-0.0.1-py3-none-any.whl
| Download URL | quickpanda_aidroid-0.0.1-py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 3 |
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