/ts_march_2023

Time series course, march 2023 enrollment.

Primary LanguageJupyter Notebook

Time series course of seminars for sber staff (enrollment march 2023)

install python environment for the course (*unix)

  • use python3.10 (can be easily installed via pyenv or system wide via your package manager)
  • to create virtual environment run python3.10 -m venv env
  • to activate it, run source env/bin/activate
  • to install all dependencies, run pip install -r requirements.txt

install python environment for the course (win)

  • use python3.10 (can be easily installed via pyenv)
  • to create virtual environment run python3.10 -m venv env
  • to activate it, run env\scripts\activate.bat
  • to install all dependencies, run pip install -r requirements.txt

Note, that tensorflow installation and its GPU support may vary from platform to platform Visit https://www.tensorflow.org/install/pip for more info