Repository for the analysis of Vilnius weather using tensorflow.
The main aim of this analysis is to try to create a deep learning model to forecast the various weather attributes.
The data was obtained from the API via https://openweathermap.org/api. The data is hourly and spans from 1990.01.01 up untill 2020.11.30.
The creation of the virtual environment and the installation of all the necesary packages is done using anaconda. The commands:
conda create python=3.7 --name weather
conda activate weather
pip install -r requirements.txt
The jupyter instance is created using Docker. To start the jupyter server on your local machine use the commands (the bellow works in Ubuntu):
sudo docker-compose build
sudo docker-compose up