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
Last synced: about 1 year ago
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Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.
- Host: GitHub
- URL: https://github.com/shortthirdman/timeseriesforecastinganalysis
- Owner: shortthirdman
- License: mit
- Created: 2025-03-29T13:45:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-29T16:19:38.000Z (about 1 year ago)
- Last Synced: 2025-03-29T16:22:06.397Z (about 1 year ago)
- Topics: data-science, jupyter-notebook, python3, time-series-analysis, time-series-forecasting
- Language: Jupyter Notebook
- Homepage:
- Size: 98.6 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# TimeSeriesForecastingAnalysis
Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.
[](https://jupyter.org/try)   
## 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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