pychamp 1.1.0.dev4

Data Science Tools

Data Science Tools (pychamp)

pychamp is a data science tool intended to ease data science practices.

Modules

• configparser : It can be used for parsing configuration file format json and ini.
• connection : It can be used for creating connection URL, connection engine and for executing any type of sql queries.
• features_selection : It can be used for selecting features using Backward Elimination, VIF and Features Importance.
• sampling : It can be used for different types of sampling operations such as SMOTE, SMOTENC and ADASYN for both categorical and numerical features.
• stats : It can be used for Confidence and Prediction Interval, IQR outlier removal and Summary Statistics.
• viz : It can be used for visualization.
• net : It can be used for sending mail currently.
• model : Different types of regression, classification and clustering models can be used.
• eda : It handles data types and missing values.