Metadata-Version: 2.1
Name: SixAdsDS
Version: 0.1.3
Summary: Generic functions for SixAds data science projects
Home-page: https://bitbucket.org/eligijus112/sixadsml/
Author: Eligijus Bujokas
Author-email: eligijus@sixads.net
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: inflection
Requires-Dist: nltk
Requires-Dist: pandas
Requires-Dist: sqlalchemy
Requires-Dist: PyYAML
Requires-Dist: keras
Requires-Dist: tensorflow
Requires-Dist: sklearn
Requires-Dist: tqdm
Requires-Dist: pymysql
Requires-Dist: opencv-python
Requires-Dist: Pillow
Requires-Dist: requests

# SixAds data science package

This package contains functions that are used in various six ads data science projects.

# Installation

In an anaconda prompt type (windows users):

```console
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
pip install SixAdsDS
```

# Modules

## Clean_text

Functions to clean and preprocess textual data. 

## Sql_utility 

Functions to read, write and alter information in the database.

## Utility

Utility functions.

## Embeddings

Functions to deal with word embeddings.

## Images 

Utility functions for dealing with images. The main library here is *cv2*.

