Metadata-Version: 2.1
Name: timeseriesfcst
Version: 0.1.0
Summary: A python toolkit for time series preprocessing, feature engineering, and forecasting
Home-page: https://github.com/AnnaValentinaHirsch/time-series-toolkit
Author: Anna-Valentina Hirsch
Author-email: a-valentina.hirsch@hotmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: tensorflow

# Time Series Forecasting Toolkit

Timeseriesfcst is a Python package developed as a group project at OpenCampus Kiel. It provides a set of tools for preprocessing, feature engineering, and analysing time series data, as well as implementing LSTM models for time series forecasting.

## Features

- Time series preprocessing
- Feature engineering for time series data
- Time series decomposition and stationarity checks
- LSTM model creation and training for time series forecasting
- Model evaluation utilities

## Installation

You can install the Time Series Toolkit using pip:

```bash
pip install timeseriesfcst
