Metadata-Version: 2.1
Name: categorical-variable-handling
Version: 0.1
Summary: All classifier algorithm at one place
Home-page: https://github.com/devil-cyber/Handling-Categorical-Variable
Author: Manikant Kumar
Author-email: mani2474695@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: certifi
Requires-Dist: joblib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: python-dateutil
Requires-Dist: pytz
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: six
Requires-Dist: sklearn
Requires-Dist: threadpoolctl
Requires-Dist: wincertstore

**Categorical Variable handling**<br>
* This is a package that contain some powerful Categorical feature handling algorithm :
* For that you have to install this library using pip command 
* Then observe you dataset and figure out which encoding technique you wants to used
* After that call that library and do as follows:
```python
from categorical_variable _handling import CategoricalFeature
column="Give here the list of Categorical column"
dataframe="Here give the dataframe"
encoding_type="Here give the encoding type e.g:'label','binary','ohe':one hot encoder"
handle_na="this is a boolean value if you wants to handle the NaN value then make true else make false "

cat = CategoricalFeature(df, categorical_features=c, encoding_type='ohe', handle_na=True
cat.fit_transform() #This will return the transformed value of the dataset
```

By. Manikant Kumar


