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https://github.com/shortthirdman/timeseriesforecastinganalysis

Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.
https://github.com/shortthirdman/timeseriesforecastinganalysis

data-science jupyter-notebook python3 time-series-analysis time-series-forecasting

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Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.

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# TimeSeriesForecastingAnalysis

Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.

[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge&logo=Jupyter)](https://jupyter.org/try) ![GitHub License](https://img.shields.io/github/license/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge) ![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge) ![GitHub repo size](https://img.shields.io/github/repo-size/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge)

## Development

- Create a Python virtual environment and activate

```shell
$ python -m venv dev
$ ./dev/Scripts/activate
$ export PIP_CONFIG_FILE=".\pip.conf"
```

- Install the packages and dependencies as listed in requirements file

```shell
$ python -m pip install --upgrade pip
$ pip install -U -r requirements.txt --no-cache-dir --disable-pip-version-check
```

- Start your development `Jupyter Notebook` or `Jupyter Lab` server

```shell
$ jupyter lab --notebook-dir=.\notebooks --no-browser
```

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