semvec/pypi-packages huggingface dataset:
simplyze 0.0.4
simplyze - simple interfaces for analyzing directories and dataframes using NLP, ML and TSA
License: MIT
Requires Python: >=3.6
Keywords: datascience

# simplyze - simple interfaces for analyzing directories and dataframes using NLP, ML and TSA

[![https://thcasey3.github.io/simplyze/](https://img.shields.io/pypi/v/simplyze)](https://pypi.org/project/simplyze/)
[![Website](https://img.shields.io/website?down_message=offline&label=Documentation&up_message=online&url=https%3A%2F%2Fthcasey3.github.io%2Fsimplyze%2Findex.html)](https://thcasey3.github.io/simplyze/)

The aim of simplyze is to provide a simplified front-end interface for common directory, machine learning, time series analysis, and anomaly detection with os, scikit-learn, statsmodels, and adtk.

# Features

- simple interfaces for analyzing directories and dataframes using NLP, ML and TSA

# Requirements

  - Python 3.6 or Later
  - pandas, numpy, scipy, scikit-learn, statsmodels, adtk, python-dateutil, matplotlib, seaborn

# Installation

Install simplyze using pip:

```console
pip install simplyze
```

# Documenation

- Online documentation: https://thcasey3.github.io/simplyze/

# Developement 

  - Clone the git repository from https://github.com/thcasey3/simplyze/tree/development