Time series deep learning workshop

Prerequisites

• Python 3.7 and pip
• Jupyter
• Optional: virtualenv
• Optional: virtualenvwrapper

You need to have Python installed and be able to include the following libraries: numpy, pandas, tensorflow, scikit-learn, matplotlib, IPython

Download

git clone [email protected]:vikua/aibooster-workshop.git

Or just download as zip

https://github.com/vikua/aibooster-workshop/archive/master.zip

Setup

Choose any installation option

Install from requirements file:

pip install -r requirements.txt

For those who prefer to use virtualenv & virtualenvwrapper:

mkvirtualenv tsdlworkshop

pip install -r requirements.txt

Pure virtualenv:

virtualenv tsdlworkshop

source tsdlworkshop/bin/activate

pip install -r requirements.txt

Once installation is complete, you may need to add virtual env as ipython kernel

python -m ipykernel install --user --name tsdlworkshop

Start Jupyter Notebook

1. Open command line terminal
2. Go to aibooster-workshop directory
3. At the command line, run jupyter notebook
4. Open your web browser to the directed url
5. In the browser, select the "workshop.ipynb" entry