Skip to main content

quickpanda

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quickpanda-0.0.5.tar.gz (17.6 kB view hashes)

Uploaded Source

Built Distribution

quickpanda-0.0.5-py3-none-any.whl (18.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page